---
title: "Rashmi Deshpande - Machine Learning Engineer in India | Tal"
description: "Meet Rashmi Deshpande, Machine Learning Engineer | Generative AI | LLMs | AI Agents | RAG | NLP | Python | MLOps | AWS | Azure based in India. AI stack includes claude code, hugging face, and langchain. Explore public work links including github."
image: "https://tal.club/meet/rashmi-deshpande/share-image"
---

# Rashmi Deshpande on Tal

## Headline

Machine Learning Engineer \| Generative AI \| LLMs \| AI Agents \| RAG \| NLP \| Python \| MLOps \| AWS \| Azure

## About

I'm a Machine Learning Engineer specializing in Generative AI, Large Language Models \(LLMs\), Retrieval\-Augmented Generation \(RAG\), AI Agents, and production Machine Learning systems\. I build end\-to\-end AI solutions—from data preparation and model development to deployment, evaluation, monitoring, and optimization\. My experience includes designing production\-grade LLM applications, retrieval pipelines, agentic workflows, intelligent automation systems, and scalable ML infrastructure that power real\-world products\. My core expertise includes: • Machine Learning & Deep Learning • Generative AI & LLM Applications • Retrieval\-Augmented Generation \(RAG\) • AI Agents & Agentic Workflows • Prompt Engineering & Fine\-Tuning • Model Evaluation & Experimentation • MLOps & Production ML • NLP & Information Retrieval • Python Development • API Development & Backend Systems I enjoy solving complex, ambiguous problems where AI can create measurable business impact\. I work across the entire ML lifecycle—data pipelines, feature engineering, model training, inference optimization, evaluation frameworks, deployment, monitoring, and continuous improvement\. I value writing reliable, maintainable systems that scale from prototype to production\. I thrive in fast\-paced engineering environments, collaborating with cross\-functional teams to transform business requirements into production\-ready AI solutions\. I'm particularly interested in building scalable AI platforms, enterprise LLM applications, intelligent automation, and next\-generation AI products\. I'm currently open to opportunities as a Machine Learning Engineer, Generative AI Engineer, AI Engineer, Applied Scientist, or LLM Engineer, where I can contribute to designing, building, and deploying impactful AI systems at scale\.

## Location

India

## AI stack

claude code

hugging face

langchain

langfuse

LiteLLM

Milvus

## Work experience

Machine Learning Engineer at Expedia Group \(Contract via Sphota\), Apr 2026 \- Present · 4 mo, Bengaluru

Machine Learning Engineer at Auditoria\.AI, Feb 2025 \- Apr 2026 · 1 yr 3 mos, Hyderabad

Data Scientist at ARThink AI, Aug 2023 \- Jan 2025 · 1 yr 6 mos, Hyderabad, Telangana, India, Developed Facial Recognition in Attendance Management : Built an attendancevsystem using facial recognition, incorporating video\-to\-video comparison to accurately detect users under varying conditions\. Fine\-tuned LLaMA\-2\-7B using LoRA \(r=8, α=32, bf16\) for a fitness\-focused conversational model, improving domain\-specific response accuracy\. Fine\-tuned LLaVA\-1\.5 \(CLIP ViT\-L/14 \+ LLaMA\-2\-7B\) with 4\-bit QLoRA on custom datasets, enhancing multimodal reasoning and visual QA accuracy\. Developed Multilingual Speech Recognition and Translation Pipelines: Designed a modular ASR–NMT pipeline combining Whisper large\-v3 for multilingual speech\-to\-text and IIT Madras Speech Lab \.pt models for translation across major Indian languages, enabling seamless cross\-lingual interaction and accessibility\. Implemented End\-to\-End Virtual Assistant Pipeline : Built a pipeline for a virtual assistant, integrating STT, RAG, and TTS\. Optimized Text Extraction with SAM & Layout Parser: Implemented SAM and a layout parser for layout selection and removal of duplicate bounding boxes in newspaper articles, significantly improving OCR accuracy and the precision of text extraction from complex document layouts\. Built an AI\-driven HR automation bot using CrewAI \+ AutoGen \+ GPT\-4, automating payslips, leave tracking, and candidate shortlisting workflows\.

Student at Univ\.AI, Jul 2022 \- Jun 2024 · 2 yrs, Remote

Research Project Intern at Datum Energy System Private Limited \- India, Jul 2022 \- Sep 2023 · 1 yr 3 mos, Pune, Maharashtra, India

Intern at Datar Electrical Services, Nov 2021 \- Jan 2022 · 3 mos, Pune, Maharashtra, India

## Education

Bachelor of Engineering \- BE, Electrical Engineering, Savitribai Phule Pune University

## Public links

- github: https://github\.com/RashmiDeshpande21

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

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