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~/sanchit-tanwar $ whoami

Bangalore, India

Sanchit Tanwar

[Senior SDE @ Atlassian][AI Engineer][Educator]

I work on RovoDev at Atlassian's AI Foundations team — the AI coding agent ranked #1 on SWEbench Full. 5+ years shipping scalable backend systems across Atlassian, Amazon, and American Express. Beyond shipping code, I teach and mentor 600+ engineers in GenAI and fullstack development.

5+Years Experience
600+Learners Taught
4.9/5Teaching Rating
$1M+Infra Cost Saved

$ cd /experience

Where I've Worked

AT

Atlassian

Bangalore, IN

Senior SDE

AI Foundations, Dev Infra

Apr 2025 – Present
  • Designed Auto-Skill Builder and Harness for custom agents with a curated Skills Marketplace; automated pipeline extracts personalized skills from real-time agentic conversations.
  • Engineered high-performance RAG pipeline for monoliths using Qdrant and PGVector — reduced latency from 5s to <1s, cut token usage by 20%, boosted code acceptance by 150%.
  • Built comprehensive Agentic Evals & Benchmarking framework (efficiency, completeness, correctness) — the critical go/no-go gate for all production releases.
  • Led cross-functional pod to architect AI-native SDLC integrating Jira and Bitbucket into the RovoDev agentic loop.
  • Spearheaded plugin framework for Atlassian CLI enabling RovoDev launch — Ranked #1 on SWEbench Full; delivered 1M token context window to 12,000+ users in month one.
  • Built low-code, config-driven framework for ACLI using dynamic REST mapping; reduced capability turnaround from 5 days to 2 hours.
AI AgentsRAGQdrantPGVectorPythonTypeScriptBenchmarking

SDE 2

AI Foundations, Dev Infra

Jan 2024 – Mar 2025
  • Pioneered ML-driven Predictive Testing — 40% test skip rate with 99%+ recall; saved 2000+ annual dev hours and reduced infrastructure overhead by $1M+ USD/year.
  • Owned end-to-end MLOps lifecycle: automated data ingestion, labeling, and deployment with robust observability for CI build health and model performance.
Machine LearningMLOpsDatabricksPythonCI/CD

SDE 2

Jira Service Management

Jul 2022 – Dec 2023
  • Architected high-throughput (2000 RPS) status management service; reduced daily support volume by 50 tickets and saved 25 man-hours daily.
  • Developed multi-inbox integration backend, streamlining project overhead and increasing agent efficiency by 2.5x.
JavaSpring BootPostgreSQL2000 RPS
AM

Amazon

Bangalore, IN

SDE 1

miniTV

Feb 2021 – Jul 2022
  • Designed and deployed cross-platform authentication service for miniTV managing 10M DAU.
  • Implemented social sharing features resulting in 15% increase in user-generated traffic.
  • Optimized video player performance — reduced TTFF by 10x and improved Zero Error Rate by 10%.
  • Owned ingress/egress migration for miniTV across Android, iOS, and mWeb platforms.
JavaAWSDynamoDBKotlin10M DAU
AM

American Express

Gurugram, IN

Engineer III

Global Business Services

Jul 2019 – Feb 2021
  • Developed payment gateway systems and invoicing automation for GBS vertical, reducing manual work by 30 minutes daily.
  • Built custom chatbots for user queries and reporting frameworks, saving 5+ hours/week for support teams.
  • Worked on onboarding platform used to onboard new hires across American Express.
JavaSpring BootSQLAutomation

$ ls /teaching

Teaching & Mentorship

Outside of engineering, I teach. From fullstack fundamentals to production GenAI systems — building engineers who land in tier-1 companies.

600+
Learners Taught
4.9/5
Average Rating
2
Platforms

Airtribe

Instructor · Gen AI

Nov 2025 – Present
100+ learners4.7/5
  • Led upskilling of 100+ learners in Gen AI with hands-on projects and personalized placement preparation.
  • Led cohorts independently maintaining a 4.7/5 rating across all live sessions.

Topics

Classical MLNLPTokenisationPrompt EngineeringTools & MCPsRAG PipelinesLangGraphLangChainLangSmithAIOps

Scaler Academy

Instructor · Fullstack LLD

Aug 2023 – Aug 2025
500+ learners4.9/5
  • Educated and mentored 500+ learners on fullstack technologies; multiple learners landed in tier-1 companies from tier-3/non-tech backgrounds.
  • Contributed to designing the curriculum for 6-month fullstack LLD module; maintained 4.9/5 rating.

Topics

ReactJSReduxNodeJSMongoDBEnd-to-end TestingDeploymentSystem DesignInterview Prep

$ cat talks.log

Talks I've Delivered

From internal tech talks to community sessions on AI, MLOps, and backend engineering.

Building Production-Ready RAG Pipelines

Internal Tech Talk · Atlassian · 2024

Deep dive into engineering high-performance RAG pipelines for large codebases — vector DB selection, context engineering, and reducing latency from 5s to <1s.

RAGAIProduction Engineering

ML-Driven Predictive Testing at Scale

Dev Infra All-Hands · Atlassian · 2024

How ML-driven test selection achieves 40% skip rate with 99%+ recall, saving 2000+ developer hours annually and $1M+ in infrastructure cost.

MLOpsTestingCI/CD

$ grep -r “thanks” ./learners

Kind Words from Learners

What learners from my courses and mentorship sessions have to say.

Replace this with the actual LinkedIn post excerpt. Paste what the learner wrote — their gratitude, their placement story, or what they found most valuable from your sessions.

Student Name

Software Engineer at [Company]

2025

Scaler

Replace this with the actual post excerpt. Mention their journey — where they started, what they learned, and where they landed.

Student Name

Fullstack Developer at [Company]

2024

Scaler

Replace this with the actual LinkedIn post. GenAI learner testimonial from Airtribe cohort.

Student Name

AI Engineer at [Company]

2025

Airtribe

// update src/config/studentPosts.ts with real LinkedIn posts

$ tech --list-all

Skills & Tech Stack

Languages & Frameworks

JavaSpring BootPythonFastAPIKotlinTypeScriptJavaScript

AI & ML

Machine LearningMLOpsRAG PipelinesAgentic FrameworksMCPsLangChainLangGraphLangSmith

Databases

PostgreSQLDynamoDBMongoDBQdrantPGVector

Cloud & SaaS

AWSDatabricksSignalFxSplunkTecton

System Design

Distributed SystemsHigh-Throughput ServicesCI/CD PipelinesAPI DesignGit