Samarth Mehrotra
@samarthmehrotra
ML/AI Engineer building optimized analytics and RAG solutions for resource-constrained environments.
IndiaWhat I'm looking for
I’m an ML/AI Engineer with a background in Cognitive Science and Economics, bringing 3 years of experience building optimized solutions for resource-constrained environments. I implement systems from published research and focus on measurable speed, accuracy, and end-to-end reliability—from modeling to deployment.
At Ernst & Young, I used Local LLMs with RAG, FAISS, and prompt engineering to automate SQL querying and document search, cutting request time from ~30s to 6s. I also accelerated legacy vision workloads by replacing heavy models with lightweight detection models, built high-throughput OCR pipelines (~50L images/day), and developed network analysis and visualization to identify collaborating fraudsters using xgBoost—while delivering drift-aware, versioned data pipelines with self-hosted tooling and CI/CD.
Experience
Work history, roles, and key accomplishments
Built and automated AI/ML solutions using local LLM chatbots, RAG, OCR, and computer vision, reducing query/request time and improving throughput, accuracy, and latency. Developed network analysis for fraud detection and implemented self-hosted pipelines for data versioning, drift detection, CI/CD, logging, and API endpoints.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Kanpur
MS(R), Cognitive Science
2020 - 2023
Pursued an MS(R) in Cognitive Science with coursework in programming, advanced statistics, machine learning, and reinforcement learning, plus projects based on published DL/RL research.
University of Delhi
BA(H), Business Economics
2016 - 2019
Completed a BA(H) in Business Economics with coursework covering economics, finance, marketing, investment and risk, and econometrics.
Availability
Location
IndiaAuthorized to work in
Job categories
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