---
title: "Aman Singh - Associate Software Engineer in Mumbai | Tal"
description: "Meet Aman Singh, AI/ML Engineer | NLP & Generative AI | RAG Pipelines | MLOps | Azure | Python based in Mumbai."
image: "https://tal.club/meet/aman-41/share-image"
---

# Aman Singh on Tal

## Headline

AI/ML Engineer \| NLP & Generative AI \| RAG Pipelines \| MLOps \| Azure \| Python

## About

AI/ML Engineer with 3\+ years building production\-grade machine learning and NLP systems in health\-tech\. I specialize in LLM evaluation, RAG pipeline design, and MLOps on Azure translating complex business problems into scalable, deployable AI solutions\. What I've delivered: Benchmarked 10\+ LLM architectures, cutting model selection time by \~40% Built RAG validation frameworks that reduced undetected production errors by 35% Maintained 92%\+ model accuracy in production through automated drift detection and retraining pipelines Authored internal whitepapers on generative AI evaluation adopted across health\-tech teams Mentored junior engineers, reducing onboarding time by \~30% Technical focus: Python · PyTorch · TensorFlow · Hugging Face · LangChain · MLflow · Azure OpenAI · Scikit\-learn · RAG · LLM Fine\-Tuning Open to roles in applied AI/ML, generative AI systems, and MLOps engineering\.

## Location

Mumbai

## Work experience

Associate Software Engineer at HTC Global Services, Mar 2024 \- Present · 2 yrs 4 mos, • Led applied research and experimentation with LLMs and generative AI architectures \(Transformers, RAG\); evaluated state\-of\-the\-art models on Hugging Face and Azure OpenAI for production suitability\. • Designed and implemented scalable ML pipelines using PyTorch, TensorFlow, and Hugging Face Transformers; integrated MLflow for experiment tracking, model versioning, and performance monitoring\. • Architected end\-to\-end AI/ML systems covering data ingestion, model training, inference, and feedback loops; deployed models into production via Azure DevOps CI/CD with automated regression validation\. • Built LLM output validation and RAG pipeline testing frameworks evaluating hallucination, context fidelity, schema compliance, and latency SLAs across model API versions\. • Collaborated with data scientists, software engineers, and business stakeholders to align AI/ML capabilities with health\-tech goals; authored internal whitepapers on generative AI evaluation methodologies\. • Implemented data drift detection, Great Expectations integrity checks, and A/B/shadow testing frameworks; monitored production model accuracy and recommended retraining triggers based on drift metrics\.

Associate Software Engineer at Mphasis, Oct 2023 \- Jan 2024 · 4 mos, • Automated ML model validation and regression API testing using Python and REST Assured; ensured test coverage aligned with business acceptance criteria in Agile sprints\. • Collaborated with data engineers and developers to validate ML pipeline outputs, track defects in JIRA, and maintain traceability across cross\-functional services\.

Associate Software Engineer at Unosis IT Solutions Pvt\. Ltd\., Oct 2021 \- Jul 2023 · 1 yr 10 mos, • Built Selenium \+ Python automation suites and REST API test collections; validated application data using SQL queries across integration and system\-level test scenarios\. • Supported automation initiatives reducing manual regression effort, documented test plans, and contributed to CI/CD pipeline testing integration\.

## Education

Bachelor of Technology, Information Technology, Noida Institute of Engineering & Technology

CBSE XII, Udaya Public School

[View the original profile](https://tal.club/meet/aman-41)

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