Akshata Dange profile photo 1 on Tal

Akshata Dange

Data Scientist @Neosoft | Gen AI | Agentic AI | LLMs | RAG | NLP | ML/DL | Python | Vector Databases

Mumbai

2+ years of work experience

NeoSOFT
Feb 20251 yr 8 mosPresent

Mumbai

Generative Ai engineering Developed AI-based systems using LLMs and agents for automated workflows Built backend APIs using FastAPI for scalable AI applications Implemented prompt engineering techniques to improve response accuracy Worked on ML/DL models for real-world use cases Improved system performance and response quality using optimisation techniques
NeoSOFT
Nov 20244 mosFeb 2025

On-site

Bharat Intern
Aug 20232 mosSep 2023

Mumbai, Maharashtra, India

It was a Machine learning internship.

Akshata’s AI Stack

antigravity
antigravity
claude
claude
codex
codex
langchain
langchain
huggingface
huggingface
Qdrant
Qdrant

Education

University of Mumbai

Computer engineering, Computer Engineering

University of Mumbai

20213 yrs2024
Maharashtra State Board of Technical Education (MSBTE)

Diploma, Computer Engineering

Maharashtra State Board of Technical Education (MSBTE)

20183 yrs2021

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Headline

Data Scientist @Neosoft | Gen AI | Agentic AI | LLMs | RAG | NLP | ML/DL | Python | Vector Databases

About

I am a GenAI Engineer with experience in building AI-powered applications using LLMs, FastAPI, and machine learning techniques. I specialize in: • Developing LLM-based applications (Chatbots, AI systems, Automation tools) • Prompt Engineering & Retrieval-Augmented Generation (RAG) • Backend development using FastAPI • Machine Learning & Deep Learning models I enjoy building real-world AI systems that solve business problems, not just models. Currently exploring: • Advanced RAG pipelines • LLM optimization & evaluation • AI product development GenAI Engineer | AI Engineer Let’s connect!

Location

Mumbai

AI stack

antigravity

claude

codex

langchain

huggingface

Qdrant

Work experience

Jr Data Scientist at NeoSOFT, Feb 2025 - Present · 1 yr 8 mos, Mumbai, Generative Ai engineering Developed AI-based systems using LLMs and agents for automated workflows Built backend APIs using FastAPI for scalable AI applications Implemented prompt engineering techniques to improve response accuracy Worked on ML/DL models for real-world use cases Improved system performance and response quality using optimisation techniques

Trainee at NeoSOFT, Nov 2024 - Feb 2025 · 4 mos, On-site

Intern at Bharat Intern, Aug 2023 - Sep 2023 · 2 mos, Mumbai, Maharashtra, India, It was a Machine learning internship.

Education

Computer engineering, Computer Engineering, University of Mumbai

Diploma, Computer Engineering, Maharashtra State Board of Technical Education (MSBTE)

Public links

github: https://github.com/AkshataDange

Akshata Dange - Jr Data Scientist in Mumbai | Tal