---
title: "Mohammed Muzaffar Tasgaonkar - Senior Software Engineer - Gen AI in Bengaluru | Tal"
description: "Meet Mohammed Muzaffar Tasgaonkar, Subject Matter Expert – GenAI | Forward Deployed Engineer | LLMs | AI/ML Solutions | Deep Learning Specialist | FastAPI | NLP | Computer Vision | Python | ML Deployment Architect | Scalable ML Pipelines | Open To Work based in Bengaluru. AI stack includes claude c..."
image: "https://tal.club/meet/mohammed-muzaffar-tasgoankar/share-image"
---

# Mohammed Muzaffar Tasgaonkar on Tal

## Headline

Subject Matter Expert – GenAI \| Forward Deployed Engineer \| LLMs \| AI/ML Solutions \| Deep Learning Specialist \| FastAPI \| NLP \| Computer Vision \| Python \| ML Deployment Architect \| Scalable ML Pipelines \| Open To Work

## About

Senior Software Engineer specializing in Generative AI, Machine Learning Systems, and Scalable Backend Architecture, with 8 years of experience taking complex AI systems from research to high\-throughput production\. Currently at AB InBev, I architect stateful agentic AI platforms and intelligence engines using LangGraph, Redis, and WebSockets, deploying resilient multi\-turn reasoning frameworks across web and iOS\. My engineering background spans the full AI lifecycle—from training custom deep learning models to architecting production microservices and CI/CD pipelines\. Key Career Highlights & Impact: \- Agentic AI & Evaluation \(AB InBev\): Built "God Mode" for ABI's CompIntel app for automated financial data retrieval; created LLM evaluation frameworks covering tool selection, SQL generation, and reasoning across 15\+ enterprise use cases\. \- Enterprise Modernization \(Omnicom / Annalect\): Transitioned 5 vendor dependencies into an internal 30\+ member engineering org, cutting costs by 45%; architected DataVista, a GenAI analytics assistant that accelerated reporting by 50% and modernized 25\+ legacy pipelines\. \- Supply Chain Automation \(Annalect\): Automated 80% of Amazon fee recovery, processing $600K\+ monthly invoices at 28% higher accuracy and saving 150\+ operational hours/month\. \- High\-Throughput ML Serving \(AdvaRisk\): Architected an AI/ML platform integrating OCR, NER, and NLP across 7 production geographies with 90%\+ accuracy; engineered FastAPI pipelines improving deployment efficiency by 72% and document processing speed by 80%\. \- Healthcare AI \(Relevance Lab\): Built deep learning OCR engines for CMS\-1500 forms with 95% accuracy across 56\+ global hospitals\. Core Technical Stack: \- GenAI: LangGraph, LangChain, RAG, Hugging Face, LlamaIndex, Agentic Workflows, LangFuse \- Backend: Python, Java, SQL, FastAPI, Flask, Spring Boot, Microservices \- ML / CV / NLP: PyTorch, TensorFlow, Scikit\-Learn, OpenCV, TrOCR, Detectron2, spaCy, BERT \- Cloud & MLOps: Azure, AWS, GCP, Docker, Kubernetes, CI/CD, PySpark, Snowflake, Redis, RabbitMQ Awards: Ace Performer Award, Noteworthy Key Performer Award, Relevance Lab Spot Award \| Oracle Certified Java SE 8 Programmer\. Open to conversations around GenAI engineering leadership and intelligent systems\. Reach out at muzaffartasgoankar@gmail\.com\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

cursor

deepseek

ollama

## Work experience

Senior Software Engineer \- Gen AI at AB InBev, Nov 2025 \- Present · 1 yr 1 mo, Bengaluru, Karnataka, India

Subject Matter Expert \- ML & Data at Omnicom Media Group, Jul 2024 \- Oct 2025 · 1 yr 4 mos, Bengaluru, Karnataka, India, ● Successfully led a team of 15\+ engineers through a strategic transition from 5 external vendors to in\-house capabilities, improving operational efficiency and reducing costs\. ● Strengthened 3 functional pods \(Supply Chain, Retail, Operations Reporting\), driving development efforts that scaled growth by 60%\. ● Automated 80% of the supply chain fee recovery program for Amazon, encompassing shortages, price claims, chargebacks, and CoOp processes\. ● Spearheaded modernization of 25\+ legacy processes by implementing Python, data engineering, and machine learning solutions, enhancing efficiency and reliability\. ● Building an automated CoOp pipeline, eliminating 150\+ hours of manual work monthly and enabling efficient dispute management for 47\+ clients involving $600K\+ invoices\.

Lead ML Engineer at AdvaRisk, Feb 2022 \- Jun 2024 · 2 yrs 5 mos, Pune Division, Maharashtra, India, ● Engineered an automated table extraction algorithm to extract tables from scanned & machine\-generated PDF documents for land documentation in 5\+ states, improving accuracy by 40% and reducing processing time by 60%\. ● Devised a cutting\-edge Deep Learning\-based Captcha model accurately deciphering captcha characters with 98% precision, streamlining scraping operations, and reducing manual effort for data extraction\. ● Utilized FastAPI to develop APIs for serving Machine Learning models, ensuring seamless integration, and achieving end\-to\-end, which increased deployment proficiency by 72%\. ● Developed an AI serving platform & pipeline for the seamless integration of 4 models:\- NER \(Named Entity Recognition\), Transliteration, OCR & Name\-matching along Natural language Processing\. ● Implemented an efficient queuing mechanism using Celery and RabbitMQ to ingest land survey documents from government websites for faster document extraction with a speedup of 80%\. ● Integrated custom APIs for ad\-hoc tasks, ensuring the system's versatility in handling diverse requirements, and produced & monitored complex business logic for 12\+ geographies\. ● Led and assembled a team of ML Engineers to address complex business challenges related to land details and encumbrance information across 15 diverse geographical states\. ● Spearheaded the application of AI methodologies to devise innovative solutions for unique business problems that served an accuracy of more than 90% for 7 production live geographies\.

Senior Software Engineer \- Data Science at Relevance Lab, May 2021 \- Jan 2022 · 9 mos, Bangalore Urban, Karnataka, India, ● Collaborated with 7\+ American & European multinational companies having diverse backgrounds like Healthcare\-Pharma /wearables, Insurance, etc\. which improved revenue growth rates by 30%\. ● Expanded analytics & ERP flow by 62% with custom codes using PySpark technology & Azure systems for analytics\. ● Introduced & mastered 6 APIs using efficient & reliable frameworks like Neo4j, Docker, Kubernetes, Bit bucket, Git, Nginx & Jenkins to meet market standards in terms of architecture which improved speed up by 54% overall\.

Software Engineer \- Data Science at Relevance Lab, Aug 2018 \- May 2021 · 2 yrs 10 mos, Bangalore, ● Extracted unstructured scanned CMS \(Centers for Medicare & Medicaid Services\) forms of 56\+ global hospitals by developing an OCR engine with 95% above accuracy with negligible errors for Inova clients using modules like Poppler, pdf2image, OpenCV, Tesseract, Keras CRNN, TensorFlow, Pillow, Scipy, EasyOCR, torch, Scikit\-image, ImageMagick, etc\. ● Formulated deep learning Classifier model to enable automated checkbox fields in the CMS forms\. ● Analyzed 7\+ complex data sets using fuzzy\-wuzzy algorithms, to predict the actual result & prepared 30\+Regex logics\. ● Configured Linux 10\+ servers \(Redhat & CentOS\) to host platform documents using Apache HTTP & Tomcat with Java\. Along with the illustrated & customized Apache Solr search for the data screens over the SPECTRA platform for 20\+ POCs to clients, which involved 6 top\-notch brands like Hershey, Merck, Johnson & Johnson, etc\. ● Ingested SAP data from 4 ADM database servers using SQLAlchemy & psycopg2 with international clients\. And created 8\+Java microservices APIs for CRUD operations\(data retrieval & manipulation\) using SpringBoot technology\.

## Education

Bachelor's degree, Computer Science, Shri Dharmasthala Manjunatheshwara College of Engineering and Technology \(SDMCET\)

PUC, Science, Vidyaniketan P\.U\. Science College

## Public links

- github: https://github\.com/Mohammedmuzzu
- youtube\.com: https://youtube\.com/@muzaffartasgoankar

[View the original profile](https://tal.club/meet/mohammed-muzaffar-tasgoankar)

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