---
title: "Saarthak Batra - ML Engineer and GenAI Developer in Gurugram | Tal"
description: "Meet Saarthak Batra, Builder at the Intersection of AI/ML, Physics, Data Science & Real-World Systems | BITS Pilani × IIT Madras | IMD(Gov. of India) - VIMANA - Blueocean | Applied ML, Data Engineering, Full-Stack based in Gurugram. AI stack includes antigravity, cursor, and github copilot. Explore..."
image: "https://tal.club/meet/saarthak-batra/share-image"
---

# Saarthak Batra on Tal

## Headline

Builder at the Intersection of AI/ML, Physics, Data Science &amp; Real\-World Systems \| BITS Pilani × IIT Madras \| IMD\(Gov\. of India\) \- VIMANA \- Blueocean \| Applied ML, Data Engineering, Full\-Stack

## About

I am a dual degree graduate from 𝐁𝐈𝐓𝐒 𝐏𝐢𝐥𝐚𝐧𝐢 and 𝐈𝐈𝐓 𝐌𝐚𝐝𝐫𝐚𝐬, with 𝟑\+ 𝐲𝐞𝐚𝐫𝐬 of hands on experience building agentic systems, evaluation pipelines, and production AI/ML systems across freelance work, startups, and a Government of India research lab, owning projects end to end\. My core strength is taking a system from a rough idea to something that actually holds up in production, a skill built through owning systems end to end rather than just contributing\. Highlights, 1\. 𝐈𝐌𝐃, 𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 𝐨𝐟 𝐈𝐧𝐝𝐢𝐚 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐥𝐚𝐛: Built 0\-72hr weather prediction system stacking LSTM, Transformer, LightGBM and XGBoost\. 2\. 𝐕𝐢𝐦𝐚𝐧𝐚, 𝐝𝐫𝐨𝐧𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐬𝐭𝐚𝐫𝐭𝐮𝐩: Owned PyTorch inference module for weather adaptive flight stabilization, improving stability by 80% in strong crosswinds, and reverse engineered QGroundControl codebase, porting to JavaScript stack for browser based drone control\. 3\. 𝐁𝐥𝐮𝐞𝐨𝐜𝐞𝐚𝐧, 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐚𝐧𝐝 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲: Architected full stack background verification ERP with multi layered security including custom encryption and JWT auth\. 4\. 𝐎𝐮𝐭𝐥𝐢𝐞𝐫 𝐚𝐧𝐝 𝐎𝐩𝐞𝐧𝐂𝐥𝐚𝐰, 𝐟𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞 𝐋𝐋𝐌 𝐰𝐨𝐫𝐤: Frontier LLM evaluation and alignment work, RLHF\-style annotation, red\-teaming across general\-purpose models, 4 custom tool\-use agents built and 15\+ agents red\-teamed against OWASP Top 10 for LLM Applications categories\. 5\. 𝐁𝐥𝐮𝐞𝐨𝐜𝐞𝐚𝐧, 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧𝐝 𝐆𝐞𝐧𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫: Architecting Generative AI HR Assistant, adapting the hybrid retrieval and multi\-tier LLM fallback design from OmniRAG project into production, alongside HR Analytics platform using XGBoost and deep learning to flag flight\-risk and burnout signals\. My toolkit includes Python, PyTorch, LightGBM, XGBoost, HuggingFace Transformers, ONNX Runtime, Airflow, MLflow, FastAPI, Node\.js, Docker, Redis, LangChain, RAG pipelines, YOLOv11, ViT, EfficientNet, C\+\+17, Linux, and Git\. I am open to full time roles in India and remote roles globally\. I am targeting Applied ML, MLOps, GenAI Engineering, and Computer Vision roles\. Email : saarthak\.batra@gmail\.com Github : https://github\.com/SaarthakBatra Portfolio : https://saarthakbatra\.github\.io/portfolio Resume : https://drive\.google\.com/drive/folders/1VcqCDlFI\_z6VsVQjX8nSh\_VTUH4nnkth?usp=drive\_link

## Location

Gurugram

## AI stack

antigravity

cursor

github copilot

hugging face

langgraph

obsidian

## Work experience

ML Engineer and GenAI Developer at Blueocean International India Pvt\. Ltd\., Feb 2026 \- Present · 7 mos, Gurugram, • Architecting a Generative AI HR Assistant \(FastAPI, LangChain/LangGraph, Google Gemini, Pinecone, Next\.js/TypeScript, SQLite, Docker\), adapting the hybrid retrieval and multi\-tier LLM fallback design from OmniRAG \(see Projects\)\. Currently in beta testing with 2\-3 employees to automate onboarding, policy compliance training, and HR support for small businesses without a dedicated HR team • Building a standalone HR Analytics platform with XGBoost and deep learning models, using class weighted training and ensemble stack\- ing to handle severe class imbalance in rare event prediction\. Trained on a manually labeled dataset of 1,500 employees across 5\-8 features \(overtime hours, monthly income, job satisfaction, absenteeism, tenure\) to flag flight risk, burnout risk, and upskilling needs, reaching 60\-70% validation accuracy so far with the dataset still growing • Driving both workstreams independently as a fresher hire, handling dataset labeling, feature engineering, and system architecture end to end, within a 5\-person tech team reporting directly to the CEO

AI/ML Engineer at Outlier \- OpenClaw Project, Oct 2025 \- Jan 2026 · 3 mo, Remote, • Delivered RLHF\-style human feedback annotation, red\-teaming, and rubric\-based evaluation across general\-purpose LLMs on Outlier \(including the OpenClaw project\), sustaining 10\-15 tasks/cycle at 70\+ hrs/week with a greater than 90% acceptance rate • Created 4 custom tool\-use/function\-calling and multi\-step reasoning agents and red\-teamed 15\+ agents within simulated multi\-step task environments \(synthetic SQL databases, mock APIs\), achieving a 100% break rate by exploiting incorrect tool selection, malformed function arguments, and multi\-step plan derailment; findings mapped to OWASP Top 10 for LLM Applications categories including prompt injection, hallucination under ambiguity, tool\-misuse, and context\-window exploitation • Authored 15\+ evaluation rubrics from scratch and conducted 40\+ individual model evaluations across structured 3\-5 LLM head\-to\-head comparison studies \(including Claude and OpenAI models\), benchmarking outputs against authored rubrics across reasoning, safety, and task\-completion dimensions

Backend \(Full\-Stack\) and Security Engineer Intern at Blueocean International India Pvt\. Ltd\., Mar 2025 \- Oct 2025 · 8 mos, Gurugram, • Architected and delivered a full\-stack background verification ERP from scratch \(Node\.js, Express\.js, MongoDB Atlas, Vanilla JS\), engineering scalable document ingestion and pipeline orchestration workflows that scaled operations from 4–5 to 30–40 verifications per month • Engineered a multi\-layered security architecture comprising custom payload encryption middleware, JWT session authentication, bcrypt password hashing, IP surveillance, and automated session cleanup, enforcing zero\-trust request validation, strict access control, and real\-time network traffic monitoring across all admin endpoints • Designed a cloud\-native document ingestion and retrieval pipeline \(Google Cloud Storage \+ Multer\) for heterogeneous document types — identity proofs, certificates, and academic records, improving traceability and maintaining end\-to\-end integrity across GCS and MongoDB Atlas storage layers

ML Engineer and Systems Software Developer Intern at Vimana, Jul 2024 \- Dec 2024 · 6 mos, Pilani, • Built PyTorch inference module and telemetry data preprocessing pipeline for weather\-adaptive ML/DL drone flight stabilization system, fine\-tuning on ∼50 hr flight telemetry for edge deployment on onboard compute, achieving 80% stability improvement over standard PID baseline in crosswinds above 10–15 m/s • Developed 3D product demo platform \(Angular, Three\.js, GLTF/GLB, GSAP, Node\.js, MongoDB\) to simulate hybrid VTOL mechanics and flight modes with semantic, interactive visualization, adopted as company’s primary investor\-facing interface • Reverse\-engineered the QGroundControl \(QGC\) C\+\+/QML codebase and ported it to a Java backend and JavaScript web client with WebSocket\-based command and telemetry flows, enabling browser\-based control for custom drone hardware

ML Engineer and Full\-Stack Developer Intern at Indian Meteorological Department \(IMD\), MoES, Govt\. of India, May 2024 \- Jul 2024 · 3 mos, Pune District, • Architected a 0\-72hr probabilistic rainfall &amp; hazard prediction system stacking LSTM/Transformer architectures \(PyTorch\) with LightGBM/XGBoost and fusing multi\-source data pipelines \(IMD API, OGIMET SYNOP/METAR, MOSDAC, ERA5, ECMWF/GFS GRIB2\), applying Non\-homogeneous Gaussian Regression \(NGR\) post\-processing and isotonic regression calibration to address severe class imbalance in rare\-event prediction, achieving 70–80% forecast accuracy at 72\-hour lead time across 5 meteorological parameters with uncertainty aware, class\-weighted training for rare events including heatwaves and cold waves • Engineered an 18\-component Apache Airﬂow\-orchestrated data pipeline handling live multi\-source ingestion \(IMD API, OGIMET SYNOP/METAR, MOSDAC, ERA5, ECMWF/GFS GRIB2, NetCDF4\), quality control and gap\-ﬁlling using Python, xarray, GeoPandas, rasterio, and R, followed by NWP reﬁnement and ensemble model output generation, establishing the feature engineering and ingestion architecture for downstream probabilistic ensemble modeling • Identiﬁed a critical gap in IMD’s manual forecast veriﬁcation workﬂow and engineered a full\-stack Forecast Veriﬁcation Portal \(vanilla JS \+ PHP\) that fed scientist\-veriﬁed forecasts back into pipeline for continuous model ﬁne\-tuning, reducing scientists’ manual veriﬁcation eﬀort by 80% and executing 8 automated forecast cycles daily

Full\-Stack Developer at Metadrix IT Solutions, Jan 2023 \- Dec 2023 · 11 mo, Remote, • Founded and independently operated a full\-stack freelance practice \(Metadrix\), delivering 10\-15 paid projects for 9 clients across India, the US, and Australia spanning landing pages, e\-commerce, product\-showcase, and hiring marketplace platforms, using React, Angular or Vanilla JS/HTML/CSS, on 2\-8 week turnarounds with full code/IP ownership handed over on completion \(live samples in portfolio\) • Engineered elaborate 3D hero and product\-showcase websites for multiple international clients using Three\.js and GSAP\-driven scroll animations, delivering polished, production\-grade interactive experiences that served as client’s primary marketing and sales asset • Owned the complete business lifecycle solo end\-to\-end including client acquisition, requirement scoping, pricing negotiation, and delivery across 9 client engagements spanning 3 continents, operating as sole technical and business point of contact throughout

## Education

Bachelor of Engineering \(B\.E\.\), Mechanical Engineering, Birla Institute of Technology and Science, Pilani

Bachelor of Science \(B\.S\.\), Programming and Data Science, Indian Institute of Technology Madras

## Public links

- github: https://github\.com/SaarthakBatra

[View the original profile](https://tal.club/meet/saarthak-batra)

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