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Abhishek Jadhav

@abhishekjadhav6

Data Scientist and GenAI developer building scalable AI solutions and retrieval-augmented applications.

India
Message

What I'm looking for

I seek roles building production GenAI/NLP systems with scalable data pipelines, collaborative teams, and opportunities to apply LLMs, RAG, and Azure cloud services.

I am a results-driven Data Scientist and GenAI developer who builds scalable AI solutions that solve real-world problems. I designed and deployed a GPT-4–based chatbot using RAG over a 100k+ document corpus, implemented Azure AI Search, and created data pipelines with Azure Data Factory to streamline ingestion into MongoDB.

I collaborate effectively with cross-functional teams, prioritize clean deployments using FastAPI and Docker on Azure, and pursue continuous learning through specializations in deep learning, TensorFlow, LangGraph, and applied machine learning. My work focuses on improving response accuracy, optimizing data flow, and delivering high-quality projects on time.

Experience

Work history, roles, and key accomplishments

CA
Current

Data Scientist

Feb 2022 - Present (3 years 8 months)

Developed a GPT-4 based Generative AI chatbot using RAG over a 100k+ document corpus, improving response accuracy and retrieval speed; engineered Azure-based data pipelines and deployed scalable services with FastAPI and Docker.

Education

Degrees, certifications, and relevant coursework

OD

Odinschool

Certificate, Data Science

2021 - 2022

Completed a Data Science Bootcamp covering applied machine learning and related topics from August 2021 to February 2022.

VI

Veermata Jijabai Technological Institute

Bachelor of Technology, Mechanical Engineering

2017 - 2021

Grade: 6.62 / 10

Completed Bachelor of Technology in Mechanical Engineering from August 2017 to May 2021 with a GPA of 6.62/10.

DC

deeplearning.ai / University of Michigan (Coursera)

Certificate, Machine Learning / Deep Learning

Completed online specializations and courses including Deep Learning Specialization and TensorFlow for AI, ML and DL.

Tech stack

Software and tools used professionally

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