---
title: "Namira Mujawar - Data Scientist in Pune City | Tal"
description: "Meet Namira Mujawar, Generative AI Engineer · Agentic Systems & LLM · RAG · LangGraph · FastAPI · Data Scientist | Published AI Researcher based in Pune City. AI stack includes antigravity, claude code, and claude."
image: "https://tal.club/meet/namira-mujawar/share-image"
---

# Namira Mujawar on Tal

## Headline

Generative AI Engineer · Agentic Systems & LLM · RAG · LangGraph · FastAPI · Data Scientist \| Published AI Researcher

## About

I build AI systems that ship to production — not just models in notebooks\. Over 3\.5 years, I've designed Agentic RAG pipelines, fine\-tuned LLMs \(LoRA/QLoRA/GGUF\), and delivered enterprise AI automation used in live recruitment workflows\. My work reduced inference costs by 70% and processing latency by 30%\. ━━ What I build ━━ Multi\-agent orchestration systems \(LangGraph, OpenAI, Qdrant\) On\-premise LLM deployments with guardrails & observability Secure AI APIs \(FastAPI · JWT · AWS · GCP\) NLP pipelines: NER, classification, resume parsing \(95%\+ accuracy\) ━━ Tech stack ━━ Python · LangChain · LangGraph · OpenAI API · RAG · Qdrant · BM25 · FastAPI · SQL · AWS S3 · GCP · spaCy ━━ Research ━━ Published at the 4th International Conference on Data Science & Applications \(Scopus\-indexed, Springer\)\. Topic: Deep Learning: Sentiment Analysis\. ━━ Certifications ━━ Full Stack Data Science & AI \(AlmaBetter\) · Azure \(Microsoft/SAP/Edunet\) Currently focused on Generative AI, Responsible AI, and scalable LLM systems for enterprise use cases\.

## Location

Pune City

## AI stack

antigravity

claude code

claude

codex

cursor

hugging face

## Work experience

Data Scientist at Rangam, May 2024 \- Present · 2 yrs 6 mos, Pune City, Maharashtra, India, • Architected Agentic RAG systems \(LangGraph \+ OpenAI \+ Qdrant \+ BM25\) for live recruitment automation — reduced retrieval latency by 30% with built\-in guardrails and LLM\-as\-a\-Judge evaluation\. • Fine\-tuned and deployed a 4B\-parameter on\-premise LLM using LoRA/QLoRA/GGUF quantization — cut AI inference costs by 70% vs cloud API approach while maintaining output quality\. • Built multi\-agent orchestration pipelines with zero\-shot CoT reasoning, long\-term memory, and full RAG observability \(logging, tracing, evaluation\) for explainable, production\-grade outputs\. • Delivered AI resume parser \(LangChain \+ spaCy \+ AWS S3 \+ Google OCR\) achieving 95%\+ structured extraction accuracy across bulk ingestion pipelines\. • Developed secure FastAPI microservices with JWT authentication and AWS/GCP infrastructure enforcing AI governance and compliance controls\.

Data Scientist Trainee at AlmaBetter, Jan 2023 \- Apr 2024 · 1 yr 4 mos, Bengaluru, Karnataka, India, • Built NLP pipelines for text classification and Named Entity Recognition using spaCy, NLTK, and Gensim — improved information extraction accuracy for downstream ML tasks\. • Engineered features and conducted EDA on large retail datasets using Pandas; visualised findings with Matplotlib and Seaborn to guide modelling decisions\. • Built and compared ML models \(Linear Regression, Decision Trees, Random Forest\) for retail sales forecasting — optimised Random Forest achieved 95% accuracy\.

## Education

Engineer's degree, Computer Engineering, Dr\. Babasaheb Ambedkar Technological University

High School Diploma, N M Joshi VidhyaBhavan Goregaon

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

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