Career OS · Now in Early Access

Stop Sending Generic Resumes. Start Aligning.

Connect your career materials once — resume, LinkedIn, GitHub, portfolio. LakshOS analyzes every job description, builds your tailored application package, and explains the reasoning behind every change.

ATS-OptimizedTailored For Every RoleTransparent AI Logic

Deep Context Mapping

Synthesizes candidate evidence from GitHub repos, LinkedIn, and portfolio to align with target role requirements.

Verified Sources4 Linked

Alex_Rivera_Resume.pdf· A4 / Global Standard

ATS Match 58%

3 Critical Flaws Detected

ALEX RIVERA

Senior AI & Computer Vision Systems Engineer

alex.rivera@cs.stanford.edu• github.com/alexr-ai• San Francisco, CA

PROFESSIONAL SUMMARYDIFF - Passive Phrasing

Software developer with experience in Python, computer vision models,and building backend APIs for team repositories and production deployment.

CORE TECHNICAL COMPETENCIESMissing Target Keywords

Vision & AI:Python, OpenCV, basic CNNs, Machine Learning (Missing YOLOv8, TensorRT)

Backend & MLOps:FastAPI, SQL, Docker, Git

PROFESSIONAL EXPERIENCEDIFF - 0 Quantified Metrics

AI Systems Engineer — Enterprise Vision Lab

2022 – Present

•Built computer vision models using Python and OpenCV to detect and track peopleacross multi-camera video streams in warehouse deployments.

•Engineered asynchronous batch inference broker with Redis queues & FastAPI, sustaining 2,400 req/sec at p99 latency <18ms.

Machine Learning Engineer — TechStart Solutions

2020 – 2022

•Built distributed CNN classification pipelines and automated dataset annotation workflows, accelerating training cycles by 35%.

REPRESENTATIVE PROJECTSDIFF - Vague Description

Multi-Node CCTV Edge Tracking EnginePyTorch · CUDA · TensorRT

•Built webcam video script to count objects entering a roomand saved the telemetry results in a PostgreSQL database.

Distributed Inference GatewayvLLM · Redis · FastAPI

•Engineered asynchronous inference gateway with vLLM & Redis caching, routing 10M+ daily queries at sub-20ms latency.

Stanford University — B.S. in Computer Science (AI Track)

2018 – 2022

HONORS & CERTIFICATIONS

• Winner, Global AI Hackathon (Edge Vision Track — 1st of 450 teams)AWS Certified ML Specialist

Page 1 of 1 · LakshOS Executive Template ATS Score Verified (100% Parsable)

Executive PDF Formatting

Automatically formatted into recruiter-ready, ATS-perfect executive PDF layout with clean single-page typography.

Export Format1-Click Clean PDF

Unoptimized Generic Resume

Lacks quantified engineering metrics and keyword alignment, resulting in a low 58% ATS match rate.

The Hidden Rejection Engine

Why 75% of Qualified Resumes Get Discarded in Seconds.

You built real engineering skills and complex projects.

Yet your application never gets seen by human eyes.

75% Auto-Filtered

The ATS Keyword Trap

Automated ATS parsers look for exact role context. Generic phrasing gets filtered out in milliseconds before a hiring manager ever sees your name.

Candidate Funnel BreakdownFiltered in 4.2s

Total Applied240 RolesCold Submissions

ATS Parser Score38% MatchBelow Threshold

Human Review 0 EyesNever Opened

Keyword Gap:Missing role-specific architecture context

Bot Decision:Auto-routed to rejection archive

Interview Risk

Fake AI Hallucinations

Generic AI tools invent fake claims you never worked on. When interviewers probe deeper, credibility collapses.

Generic AI Tools:"Led 50-person core AI infra team at Google" (Fake)

LakshOS Guarantee:100% verified evidence directly from your GitHub & background

6.8s Recruiter Scan

Invisible Business Impact

Recruiters spend under 7 seconds per resume. Passive statements like "worked on tasks" get skimmed and skipped.

Passive / Un-Quantified Resume:

0% Callback Rate

The 4-Step Alignment Process

How LakshOS Transforms Your Career.

From fragmented evidence to interview-ready application suites in under 60 seconds.

Multi-Source Ingestion

Build Your Verified Profile

Connect your resume, LinkedIn, GitHub, and portfolio once.

LakshOS deep-indexes your verified code repositories, past roles, architectural projects, and achievements into a unified single source of truth.

Resume PDF ParseLinkedIn Profile SyncGitHub Code ScanPortfolio Extraction

Stage 1 / Multi-Source Ingestion

Ingesting 4 career evidence sources

4 Sources ConnectedResume · LinkedIn · GitHub · Portfolio

Resume.pdf

GitHub

Portfolio

Stage 1 / Target Parsing

Scanning job criteria and hidden expectations

Target: Senior AI EngineerROLE_REQ

Looking for a Senior AI Engineer to design and scale production ML pipelines.
Must have experience with PyTorch & LLMs, and deep expertise in inference latency.

Target Job Description

Target Role Analysis

Deconstruct The Opportunity

Paste any job description and target company requirements.

We deconstruct explicit qualifications, tech stack requirements, and implicit engineering expectations to map exact contextual alignment.

Explicit Skill MatchingImplicit Role IntentSeniority Level ScoringDomain Mapping

Grounded Package Generation

Generate Aligned Applications

Receive a complete 4-asset application package in seconds.

Generate an ATS-perfect tailored resume, personalized cover letter, recruiter outreach note, and interview kit grounded 100% in your real experience.

Tailored LaTeX ResumePersonalized Cover LetterRecruiter Outreach DM1-Click Interview Prep

Compiling 4-Asset Package

ALL_ASSETS_SYNC

Aligned ResumeSenior AI Engineer

98% ATS

Asset 1 of 4

Cover LetterRole Aligned Story

Tailored

Asset 2 of 4

Outreach NoteHiring Manager DMs

Ready

Asset 3 of 4

Interview KitCheat Sheet & Prep

Grounded

Asset 4 of 4

Click a card to focus · 4 Complete Application Assets

Explainable AI Co-Pilot

DIFF_LIVE

Built basic Python scripts for ML integrations.

Engineered vLLM pipeline on FastAPI, cutting p99 latency by 45%.

Optimize for high-throughput latency

REVISION APPLIEDTarget role prioritizes high-scale infra. Added latency metrics & vLLM stack.

"Optimize for high-throughput latency"

Explainability & Export

Review, Refine & Export

Transparent AI explainability with full user control.

See every metric improvement and the exact reasoning behind each change. Tweak phrasing or add emphasis through an interactive AI refinement workspace.

Visual ATS Keyword DiffsRecruiter Psychology NotesCo-Pilot RefinementUniversal PDF Export

The Explainability Engine

See The Exact Reason Behind Every AI Change.

Never trust a black-box AI rewrite blindly. LakshOS grounds every accomplishment in your real experience and explains the hiring psychology behind each edit.

Swipe cards horizontally1 / 4

AI & Machine Learning

98%

51%+47%

ATS Aligned

Senior AI / Machine Learning Engineer

Real-Time Recommendation Engine

Before: Generic Bullet75% Discard Risk

"Built machine learning models using Python and PyTorch for customer recommendations."

Flaw: Generic task statement. Zero mention of production serving throughput, vLLM acceleration, or latency benchmarks.

After: LakshOS Synthesized98% Match

"Architected real-time recommendation pipeline with PyTorch & vLLM, processing 4.2M daily predictions at p99 latency <22ms."

Grounded in GitHub repo: recommendation-service & production deployment metricsVerified

Explainability Reasoning

GROUNDED_ACTIVE

Why LakshOS Rewrote ThisRole Gap

Generic "built models" claims get rejected. We extracted your verified 4.2M daily throughput and <22ms p99 latency from GitHub to prove real production scale.

Recruiter & ATS ImpactShortlist

Proves senior-level vLLM infrastructure and SLA compliance, turning a discard risk into an instant shortlist callback.

Full-Stack & Systems

96%

44%+52%

ATS Aligned

Senior Full-Stack / Backend Engineer

Enterprise Application Architecture

Before: Generic Bullet75% Discard Risk

"Developed backend APIs and frontend UI components for the main web application."

Flaw: Passive duty description with no architectural ownership, data throughput metrics, or speed optimizations.

After: LakshOS Synthesized96% Match

"Engineered distributed FastAPI services and Next.js frontend, optimizing Redis caching to reduce p95 API response times by 45%."

Grounded in LinkedIn role: Lead Architect & FastAPI API endpoints repositoryVerified

Explainability Reasoning

GROUNDED_ACTIVE

Why LakshOS Rewrote ThisRole Gap

Passive duties lack ownership. We linked your LinkedIn Lead Architect role with your FastAPI repo to showcase distributed system design and a 45% speedup.

Recruiter & ATS ImpactShortlist

Engineering leads prioritize measured impact. Demonstrating Redis caching and latency gains proves architectural maturity.

Cloud & Infrastructure

97%

48%+49%

ATS Aligned

DevOps / Cloud Platform Engineer

Automated Multi-Region Infrastructure

Before: Generic Bullet75% Discard Risk

"Managed AWS cloud servers and created Docker containers for deployments."

Flaw: Sounds like manual server maintenance rather than modern Infrastructure-as-Code and automated CI/CD pipelines.

After: LakshOS Synthesized97% Match

"Automated multi-region Kubernetes deployments on AWS via Terraform & GitHub Actions, cutting release cycle time from 3 hours to 12 minutes."

Grounded in GitHub CI/CD Actions workflows & Terraform module repositoriesVerified

Explainability Reasoning

GROUNDED_ACTIVE

Why LakshOS Rewrote ThisRole Gap

Manual server claims fail ATS screens. We mapped your GitHub Actions and Terraform code to showcase automated multi-region Kubernetes (3h → 12m).

Recruiter & ATS ImpactShortlist

Targets engineering leads' top priority: 93% faster, reliable releases using enterprise Infrastructure-as-Code.

Product & Tech Leadership

95%

42%+53%

ATS Aligned

Technical Product Manager / Engineering Lead

Enterprise Analytics Suite Launch

Before: Generic Bullet75% Discard Risk

"Worked with developers and stakeholders to deliver product roadmaps and features on time."

Flaw: Describes participation rather than technical leadership, data-driven prioritization, and revenue metrics.

After: LakshOS Synthesized95% Match

"Led cross-functional team of 6 engineers to launch enterprise analytics suite, driving 28% increase in Q3 user retention."

Grounded in Portfolio case studies & product roadmap milestone deliveriesVerified

Explainability Reasoning

GROUNDED_ACTIVE

Why LakshOS Rewrote ThisRole Gap

Basic task participation is too passive. We extracted your 6-engineer squad leadership and +28% retention ROI from verified project milestones.

Recruiter & ATS ImpactShortlist

Hiring panels select leaders who drive business revenue. Quantifying team size and retention gains proves executive readiness.

AI & Machine Learning

Senior AI / Machine Learning Engineer

98%

51%+47%

ATS Aligned

Real-Time Recommendation Engine

TELEMETRY: VERIFIED_PROD

Before: Generic Task Bullet75% Discard Risk

"Built machine learning models using Python and PyTorch for customer recommendations."

Core Flaw: Generic task statement. Zero mention of production serving throughput, vLLM acceleration, or latency benchmarks.

After: LakshOS Synthesized98% High Match

"Architected real-time recommendation pipeline with PyTorch & vLLM, processing 4.2M daily predictions at p99 latency <22ms."

Grounded in GitHub repo: recommendation-service & production deployment metricsVerified

Explainability Engine Breakdown

GROUNDED_REASONING_ACTIVE

Why LakshOS Rewrote This

Target Role Gap

Generic "built models" claims get rejected. We extracted your verified 4.2M daily throughput and <22ms p99 latency from GitHub to prove real production scale.

Recruiter & ATS Impact

Shortlist Decision

Proves senior-level vLLM infrastructure and SLA compliance, turning a discard risk into an instant shortlist callback.

Full-Stack & Systems

Senior Full-Stack / Backend Engineer

96%

44%+52%

ATS Aligned

Enterprise Application Architecture

TELEMETRY: VERIFIED_PROD

Before: Generic Task Bullet75% Discard Risk

"Developed backend APIs and frontend UI components for the main web application."

Core Flaw: Passive duty description with no architectural ownership, data throughput metrics, or speed optimizations.

After: LakshOS Synthesized96% High Match

"Engineered distributed FastAPI services and Next.js frontend, optimizing Redis caching to reduce p95 API response times by 45%."

Grounded in LinkedIn role: Lead Architect & FastAPI API endpoints repositoryVerified

Explainability Engine Breakdown

GROUNDED_REASONING_ACTIVE

Why LakshOS Rewrote This

Target Role Gap

Passive duties lack ownership. We linked your LinkedIn Lead Architect role with your FastAPI repo to showcase distributed system design and a 45% speedup.

Recruiter & ATS Impact

Shortlist Decision

Engineering leads prioritize measured impact. Demonstrating Redis caching and latency gains proves architectural maturity.

Cloud & Infrastructure

DevOps / Cloud Platform Engineer

97%

48%+49%

ATS Aligned

Automated Multi-Region Infrastructure

TELEMETRY: VERIFIED_PROD

Before: Generic Task Bullet75% Discard Risk

"Managed AWS cloud servers and created Docker containers for deployments."

Core Flaw: Sounds like manual server maintenance rather than modern Infrastructure-as-Code and automated CI/CD pipelines.

After: LakshOS Synthesized97% High Match

"Automated multi-region Kubernetes deployments on AWS via Terraform & GitHub Actions, cutting release cycle time from 3 hours to 12 minutes."

Grounded in GitHub CI/CD Actions workflows & Terraform module repositoriesVerified

Explainability Engine Breakdown

GROUNDED_REASONING_ACTIVE

Why LakshOS Rewrote This

Target Role Gap

Manual server claims fail ATS screens. We mapped your GitHub Actions and Terraform code to showcase automated multi-region Kubernetes (3h → 12m).

Recruiter & ATS Impact

Shortlist Decision

Targets engineering leads' top priority: 93% faster, reliable releases using enterprise Infrastructure-as-Code.

Product & Tech Leadership

Technical Product Manager / Engineering Lead

95%

42%+53%

ATS Aligned

Enterprise Analytics Suite Launch

TELEMETRY: VERIFIED_PROD

Before: Generic Task Bullet75% Discard Risk

"Worked with developers and stakeholders to deliver product roadmaps and features on time."

Core Flaw: Describes participation rather than technical leadership, data-driven prioritization, and revenue metrics.

After: LakshOS Synthesized95% High Match

"Led cross-functional team of 6 engineers to launch enterprise analytics suite, driving 28% increase in Q3 user retention."

Grounded in Portfolio case studies & product roadmap milestone deliveriesVerified

Explainability Engine Breakdown

GROUNDED_REASONING_ACTIVE

Why LakshOS Rewrote This

Target Role Gap

Basic task participation is too passive. We extracted your 6-engineer squad leadership and +28% retention ROI from verified project milestones.

Recruiter & ATS Impact

Shortlist Decision

Hiring panels select leaders who drive business revenue. Quantifying team size and retention gains proves executive readiness.

Clear Comparison

Why LakshOS Outperforms Generic AI Builders.

No fluff. No complex jargon. Here is how LakshOS differs from typical resume tools in 5 seconds.

Generic AI Resume Builders

Legacy Flaws

Career Evidence Ingestion1 Static PDF only (misses 80% of your real engineering depth)
Truth & Fact AccuracyBlack-box AI hallucinations that fail technical interviews
Application OutputResume rewriter only (separate tools needed for the rest)
AI ExplainabilityBlind rewrites with zero explanation of why changes were made
Editing & ControlStatic export download (restart from scratch to adjust tone)

Outcome: Generic applications that get filtered by ATS bots

LakshOS Career Operating System

Verified Truth

Career Evidence Ingestion4 Connected Sources: Resume, LinkedIn, GitHub Repos & Portfolio
Truth & Fact Accuracy100% Grounded in your verified code and actual role history
Application OutputComplete 4-in-1 Package: Resume, Cover Letter, Recruiter DM & Interview Kit
AI ExplainabilityVisual Diffs explaining ATS keyword coverage & recruiter psychology
Editing & ControlInteractive Co-Pilot Workspace for real-time phrasing refinement

Outcome: High-scoring, evidence-backed packages interviewers respect

A Letter from the Founder

Why I spent months building LakshOS.

From an engineer rejected by automated screening bots to building the career operating system job seekers deserve.

Jeet Majumder

Founder

AI Architect & Creator of LakshOS

Handcrafted with Conviction

Like countless engineers and jobseekers, I was exhausted by the silent rejection cycle. We spend months writing clean code, building GitHub repos, and shipping real work — only to be filtered out in 8 seconds by a blind keyword bot before a human ever sees our proof.

“True alignment isn’t about inventing lies with AI. It’s about translating your real, verified engineering depth into the exact language a hiring team is desperately seeking.”

I refused to accept that job hunting had to stay broken. I built LakshOS from scratch to change this: an evidence-first Career Operating System that connects your live GitHub, LinkedIn, and portfolio to generate ATS-verified, explainable 4-in-1 application packages grounded 100% in your actual achievements.

Built Solo With Heart & Conviction

I engineer LakshOS independently, pouring late nights into every line of code to give jobseekers an unfair advantage. Your feedback directly shapes this roadmap, and my inbox is always open.

Jeet MajumderCreator of LakshOS

LinkedIn X / Twitter support@lakshos.com

Zero-hallucination guarantee · 100% candidate-owned data

Transparent Pricing · Live Access

Ready to Align Every Application with Verified Truth?

Start for free with 1 complete application package, or unlock accelerated role targeting with Pro.

Starter Tier

Free Trial

100% Free

₹0/ one-time trial

Test the complete LakshOS alignment pipeline on your first job application.

1-time Profile Ingestion (Resume, LinkedIn, GitHub, Portfolio)
3 Opportunity (JD) Deep Analysis with role expectations
1 Complete Alignment Package (Resume, Cover Letter, Recruiter DM, Interview Kit)
1-Click ATS-Verified PDF Exports
Instant Access · Fully Free Trial

No Credit Card Required · Free Forever Access

Career Acceleration

Pro Access Plan

80% Early Discount

₹99₹499· One-Time Payment

Designed for active job seekers targeting multiple high-impact roles.

1 Profile Creation + 1 Profile Re-Sync (Refresh GitHub repos & roles anytime)
10 Opportunity (JD) Deep Analyses with company intent decoding
7 Complete Alignment Packages (7 Tailored Resumes, 7 Cover Letters, 7 Recruiter DMs, 7 Interview Kits)
Full Explainable AI Visual Diffs with ATS match and recruiter reasoning
Interactive Alignment Co-Pilot with direct line-by-line adjustment
ATS-Compliant Clean PDF Export ready for immediate submission

Instant UPI, RuPay & Cards via Razorpay·Instant Workspace Activation

Common Questions

Frequently Asked Questions.

Everything you need to know about how LakshOS works, fact grounding, and why generic AI tools fall short.

Raw LLMs like ChatGPT and Claude have zero long-term memory of your career, cannot verify your actual code, and frequently hallucinate fake claims that get candidates humiliated in technical interviews. LakshOS deep-indexes your 4 sources (Resume, LinkedIn, GitHub, Portfolio) into a grounded profile graph, maps hidden role criteria, generates ATS-perfect 1-click PDFs, and explains the hiring psychology behind every change.

Have a specific question not covered here?

Our engineering team answers early access questions directly.

Contact Founders