---
title: "Anupam Misra - Senior Machine Learning Engineer in Bengaluru | Tal"
description: "Meet Anupam Misra, Senior Machine Learning Engineer - Agentic AI & MLOps at scale based in Bengaluru. AI stack includes claude code, langchain, and langgraph. Explore public work links including github."
image: "https://tal.club/meet/anupam-misra/share-image"
---

# Anupam Misra on Tal

## Headline

Senior Machine Learning Engineer \- Agentic AI & MLOps at scale

## About

Senior Machine Learning Engineer with 7\+ years of experience building production\-grade Agentic AI systems and large\-scale MLOps pipelines — from architecting a distributed microservices\-based multi\-tenant LLM platform to building distributed ML pipelines for 20M consumers and managing model lifecycles for 470\+ assets across 20\+ industrial sites\. Tools and technologies \- Python, LangGraph, CrewAI, FastAPI, Redis, RabbitMQ, Celery, Flower, Docker, Kubernetes, Loki, Promtail, Grafana, Prometheus, JS, AlibiDetect, Prefect, Pytorch, AWS, Azure\. Areas of interest \- Agentic systems and platforms, MLOps at scale\.

## Location

Bengaluru

## AI stack

claude code

langchain

langgraph

mcp

OpenRouter

Qdrant

## Work experience

Senior Machine Learning Engineer at Eli Lilly and Company, Oct 2023 \- Present · 2 y 10 mo, Bengaluru, Enterprise Agentic AI Platform: \* Built and scaled a microservices\-based agentic AI platform for the commercial org, dramatically cutting agent time\-to\-production through ready\-made templates and a managed orchestration, runtime, and observability layer\. \* Designed for high\-concurrency use with async distributed execution \* Centralized logging/tracing across the full stack, and cost\-optimized LLM routing\. Tools: FastAPI, LangGraph, Kubernetes, Celery, RabbitMQ, Redis, Prometheus, Grafana, KEDA, Docker, LLM Generative AI Products: Delivered multiple production AI tools across the org: \* Self\-serve natural\-language\-to\-SQL analytics assistant for cross\-brand reporting \* MCP\-based marketing\-mix\-modeling tool used to evaluate channel spend impact\. Tools: LangGraph, CrewAI, Databricks, Qdrant, MCP Multi\-Touch Attribution Modelling: \* Designed and trained deep learning attribution models for large\-scale consumer\-level marketing attribution \* Used distributed hyperparameter tuning on Kubernetes to significantly reduce training time\. \* Provided parallelized batch based inference for all target customers\. Tools: PyTorch, Optuna, AWS, MLflow

Senior Associate at PwC India, Apr 2023 \- Sep 2023 · 6 mos, Bengaluru, Preventing equipment failure at Shell across 20\+ operating sites\. \* Developed end\-to\-end MLOps pipelines for outlier detection on streaming sensor data across 470\+ assets in 20\+ operating sites for Shell \* Implemented data drift detection via PCA reconstruction error to close the observability loop, enabling pre\-emptive retraining of degraded models \* Applied a kernel derivative method to extract the top two sensor tags in a One\-Class SVM model with 75% more accuracy than previous Z\-score based method Firm development initiatives: • Fine\-tuned abstractive dialogue summariser using Pytorch and Google\-T5 in Azure ML Studio\. The real\-time endpoint API was consumed in a web application\. The web application used Google’s STT API to convert audio dialogue to text\. • Onboarded 13 interns, associates and senior associates into the team\.

Associate at PwC India, Nov 2021 \- Mar 2023 · 1 yr 5 mos, Bengaluru, Karnataka, India, Designed and developed a full stack web application for HR analytics: • Guided four colleagues to build the application using Python, Flask, HTML, JS and CSS\. The application was deployed on Microsoft Azure App Services with VS Code easy\-deploy\. • Attrition prediction was done via a logistic regression model with F1 score of 0\.91\. The application was designed to accept data and display attrition probability with local importance using shapely values\. • Candidates were recommended through fuzzy matching resumes and uploaded job description\.

Manager at Reliance Industries Limited, Jul 2019 \- Jan 2021 · 1 yr 7 mos, Jamnagar Area, India, 1\. Built interactive dashboards for key stakeholders 2\. Ensured reliability of 130 MW of electrical equipment through coordination with other departments\. 3\. Led a team of thirteen men for executing daily tasks\. 4\. PR/PO management and work order planning through SAP\.

Graduate Engineering Trainee at Reliance Industries Limited, Jul 2018 \- Jul 2019 · 1 yr 1 mo, Jamnagar, Gujarat, India, Underwent plant operation, electric equipment and safety related training in DTA Pet Coke Gasfication project\.

## Education

PGP Data Science, Data science, Praxis Business School

Bachelor of Technology \(B\.Tech\.\), Electrical and Electronics Engineering, Manipal institute of technology

## Public links

- github: https://github\.com/misra\-anupam

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

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