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Hello, I am

Chandrashekhar

Data Aspirant
Resume
Chandrashekhar

2

GenAI
Projects

About

Me

Data Scientist & AI Engineer with 5 years of experience, including 2+ years in Machine Learning, Generative AI, and MLOps. Skilled in building enterprise-grade AI systems using LLMs, RAG pipelines, multi-agent architectures, and real-time data integration. Strong expertise in system design (LLD/HLD), cloud-native deployments, CI/CD automation, and scalable AI product engineering. Certified in AI/ML from IIIT Bangalore and AWS Cloud Essentials. Proven ability to deliver measurable business value through AI-driven solutions.

My

Projects

AI-powered Document Analysis & Comparison Portal
AI-powered Document Analysis & Comparison Portal

Domain/Function: Document Intelligence, RAG-based Semantic Search

Developed an AI-powered portal that ingests multi-format documents (.pdf, .docx, .pptx, .csv) and enables contextual Q&A, semantic search, and side-by-side document comparison. Built a RAG pipeline using LangChain, Hugging Face embeddings, and FAISS vector DB with integrated caching and DeepEval tes

See My Work GenAI
eCommerce Product Assistant (GenAI Chatbot)
eCommerce Product Assistant (GenAI Chatbot)

Domain/Function: Retail, Product Intelligence, Conversational AI

Developed an intelligent eCommerce assistant that enables contextual product search, Q&A, and recommendation through a RAG-based conversational pipeline. Integrated LangChain, FAISS, and OpenAI API for semantic understanding and real-time product retrieval.

See My Work GenAI

My

Experience

AI & Product Engineer | Tifants Ingress (Pune) | Nov 2022 – Present

·       Designed and deployed AI-powered document analysis & comparison portal with LangChain, FAISS, and AWS Fargate.

·       Built real-time product assistant for e-commerce using MCP, LangChain agents, and Kubernetes-based CI/CD pipelines.

·       Developed multi-agent system for research automation, enabling collaboration between AI agents (search, reader, analyst, generator, coordinator).

·       Applied system design principles (LLD & HLD) to architect scalable RAG and multi-agent solutions.

·       Deployed AI services on AWS (EKS, Lambda, Fargate) ensuring modularity, scalability, and fault tolerance.

·       Implemented CI/CD pipelines with automated testing and cloud monitoring for reliable releases.

Blockchain Product Developer | Bitwise Global | Aug 2022 – Nov 2023

·       Developed yield farming & staking platforms and Web3.0 integrations.

·       Contributed to augmented blockchain use cases for automation and compliance.

Product & Business Development | McKinley & Rice | Jun 2021 – Jul 2022

·       Led product R&D into NFT and decentralized identity management systems.

·       Worked with stakeholders to design blockchain solutions for enterprise clients.

Assistant Professor | JSPM Narhe Technical Campus | 2013 – 2020

·       Taught and Conducted workshops on Python, ML, and AI fundamentals.

·       Integrated data-driven approaches into curriculum design for engineering programs.

Awards

& Certificate

AI/ML Certificate from IIITB

AI/ML Certificate from IIITB