Open to AI / Data roles · Bengaluru
I build data platforms
Data Engineer at FedEx and AI Systems Engineer from IIT Madras. I ship production data pipelines and intelligent systems across RAG, LLM applications, agentic AI and computer vision.
I love the full arc — designing reliable pipelines that move hundreds of millions of rows, and shipping applied AI: retrieval-augmented generation, LLM apps and computer-vision systems. Four AI internships, one production data-engineering role, and a bias for taking things from notebook to deployment.
FedEx · US Revenue Quality
Migrating a SAS surcharge platform to Ab Initio — config-driven, validated, automated.
Civil Engineering · CGPA 7.92 · 2021–2025
Open to new opportunities
US Surcharge Dashboard — SAS → Ab Initio Migration · US RQ Team
Generative AI for Industrial Safety
Medical Computer Vision
Reliability Engineering & Diagnostics
Each opens a full case study — motivation, architecture, results, challenges and learnings.
Config-driven Ab Initio pipeline over 113M+ rows — cut rate updates from 10 days to 4 hours at FedEx.
A Planner→Researcher→Critic→Synthesizer pipeline that researches the live web and writes fully-cited reports — on free LLM tiers.
Retrieval-augmented Q&A over many docs with FAISS + HuggingFace + Cohere — 95% answer accuracy.
Real-time video safety monitoring with Qwen VLM + a FLUX generator for rare hazard training data.
YOLO detector at 95% accuracy, adopted by the Tamil Nadu Government — potential reach 10M+ patients.
DQN agent landing a craft in OpenAI Gym — reward 500 via experience replay and target networks.
XGBoost risk model at 90% validation accuracy over 300K+ transactions; 0.870 AUC after tuning.
More — Fantasy IPL Prediction (TensorFlow + XGBoost, 0.87 AUC) and a Hindi→English Transliteration RNN (LSTM, 90.6%) on GitHub →
Open to roles and collaborations in AI systems, data platforms, applied ML and GenAI. Fastest way to reach me is email.