Hey, I'm Ritik

AI Engineer Intern @ Calsoft

AI Engineer building multi-agent workflows, stateful RAG pipelines, and production Generative AI applications.

Ritik Kumar Gupta

ABOUT

I'm an AI Engineer currently interning at Calsoft Pvt. Ltd., where I work on architecting multi-agent systems and production-grade Generative AI pipelines — including VMExit (automated VMware-to-OpenStack cloud migration with LangGraph Human-in-the-Loop workflows) and CalRetail (AI platform for retail operations across 5,000+ SKUs). My core strengths lie in Generative AI engineering — designing stateful systems with Python, FastAPI, LangChain, LangGraph, PyTorch, and ChromaDB. Previously at ConstemsAI, I resolved product catalog indexing defects and restored automated ETL validation pipelines. Outside work, I build open-source AI projects across healthcare, adaptive retrieval, and FastMCP agentic tools.

EXPERIENCE

C

Calsoft Pvt. Ltd.

Mar 2026 – Aug 2026
AI Engineer Intern
  • Architected VMExit – automated VMware-to-OpenStack cloud migration system using LangGraph multi-agent orchestration featuring Human-in-the-Loop (HITL) approval checkpoints and rollback handling.
  • Engineered CalRetail – production AI platform for retail operations implementing demand forecasting, dynamic pricing, personalized recommendations, and GenAI customer assistance across 5,000+ SKUs.
  • Designed a LangGraph + LangChain RAG application integrating semantic vector search, structured product metadata, and LLM orchestration to deliver context-aware customer assistance.
C

ConstemsAI

Dec 2025 – Feb 2026
AI Engineer Intern
  • Audited and corrected SKU-to-shelf mappings across the Thailand product catalog, resolving HID (Horizontal Indexing Defect) issues and restoring accurate product indexing.
  • Developed automated data validation and cleaning pipelines to detect missing, duplicate, and corrupted records across large-scale retail datasets.
  • Restored and validated end-to-end ETL pipelines for the Philippines product catalog, ensuring reliable downstream data processing and production data availability.

PROJECTS

Health O.K

Multi-Agent AI Healthcare Assistant

Full-stack healthcare assistant utilizing multi-agent orchestration, safety screening, citation-grounded RAG, and automated PII redaction.

LangGraph LangChain FastAPI ChromaDB React Docker

Adaptive Retrieval Intelligence (ARI)

Stateful Self-Correcting RAG System

Stateful RAG engine built on LangGraph featuring self-correcting loops for document reranking, self-reflection, and recursive query expansion.

LangGraph LangChain FastAPI ChromaDB Pydantic Netlify

EduBlink 2.0

Full-Stack AI Learning Platform & FastMCP Agent

Full-stack AI platform generating 10+ classroom resources under 3 seconds using a 4-stage Course Builder Agent and FastMCP tools.

Python FastAPI FastMCP Docker OpenAI API React

VitaScan AI

Medical Report Analysis & Health Risk Categorization

Full-stack medical report analyzer analyzing 500+ PDF reports with 95% metric extraction accuracy using PyPDF2, FastAPI, and LangGraph.

FastAPI React LangGraph OpenAI API PyPDF2

NexAnalyze AI

Autonomous Research & Data Analysis Platform

Autonomous multi-agent research platform combining LLMs, Machine Learning models, and automated statistical data insight generators.

FastAPI Python LangChain scikit-learn PyTorch

YouTube Video Summarizer

Automated Video Transcript Summarization

Full-stack web application extracting YouTube transcripts and outputting low-latency concise NLP summaries.

FastAPI React Python NLP Docker

SKILLS

Generative AI & Agentic Systems
LangChain LangGraph RAG Pipelines Agentic AI Multi-Agent Systems FastMCP LLM Evals Prompt Engineering
ML & Deep Learning
PyTorch TensorFlow Scikit-learn Transformers NLP XGBoost
Backend & Vector Databases
Python FastAPI REST APIs PostgreSQL ChromaDB FAISS Pinecone
Cloud, Tools & Frontend
Docker GitHub Actions Render Netlify LangSmith React.js

CONTACT

Let's build something intelligent.

I am actively exploring AI Engineering, Generative AI, and Agentic Systems opportunities.