Subhasish Padhi profile photo 1 on Tal

Subhasish Padhi

AI Engineer

Bengaluru

1+ year of work experience

NxtGen Cloud Technologies Pvt Ltd
Aug 20251 y 2 moPresent

Bengaluru

Designed LLM-powered conversational agents using LangGraph ReAct architecture for multi-intent, multi-turn dialogue across domain-specific corpora. Built RAG pipelines with ChromaDB and Neo4j, using query decomposition, reranking, and hybrid graph + vector retrieval across corpora of 1-5 lakh+ documents. Integrated Parakeet ASR and Magpie TTS into a WebSocket backend, enabling fully speech-to-speech user experiences. Developed FastAPI backends with REST and WebSocket APIs, session management, and structured payloads for frontend map and UI rendering. Managed document ingestion pipelines for heterogeneous content (PDFs, legal texts, financial tables) into graph and vector stores at scale.
NxtGen Cloud Technologies Pvt Ltd
Apr 20254 mosJul 2025

NullClass
Nov 20244 mosFeb 2025

Cognifyz Technologies
Sep 20242 mosOct 2024

GitHub
@Subhasish1802

Subhasish’s AI Stack

claude code
claude code
codex
codex
hugging face
hugging face
langchain
langchain
langfuse
langfuse
langgraph
langgraph

Education

B-Tech, Computer Science and Engineering, B-Tech

National Institute of Science and Technology(NIST University)

20204 yrs2024

Intermediate

Sankalp senior secondary school

20182 yrs2020

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Subhasish Padhi on Tal

Headline

AI Engineer

About

AI Engineer with experience in developing and deploying ML models using Python, TensorFlow, and PyTorch. Skilled in data processing, model optimization, and cloud deployment, with a focus on building scalable AI solutions.

Location

Bengaluru

AI stack

claude code

codex

hugging face

langchain

langfuse

langgraph

Work experience

AI Engineer at NxtGen Cloud Technologies Pvt Ltd, Aug 2025 - Present · 1 y 2 mo, Bengaluru, Designed LLM-powered conversational agents using LangGraph ReAct architecture for multi-intent, multi-turn dialogue across domain-specific corpora. Built RAG pipelines with ChromaDB and Neo4j, using query decomposition, reranking, and hybrid graph + vector retrieval across corpora of 1-5 lakh+ documents. Integrated Parakeet ASR and Magpie TTS into a WebSocket backend, enabling fully speech-to-speech user experiences. Developed FastAPI backends with REST and WebSocket APIs, session management, and structured payloads for frontend map and UI rendering. Managed document ingestion pipelines for heterogeneous content (PDFs, legal texts, financial tables) into graph and vector stores at scale.

AI Engineer Intern at NxtGen Cloud Technologies Pvt Ltd, Apr 2025 - Jul 2025 · 4 mos

Data Science Intern at NullClass, Nov 2024 - Feb 2025 · 4 mos

Data Science Intern at Cognifyz Technologies, Sep 2024 - Oct 2024 · 2 mos

Education

B-Tech, Computer Science and Engineering, B-Tech, National Institute of Science and Technology(NIST University)

Intermediate, Sankalp senior secondary school

Public links

github: https://github.com/Subhasish1802