$ whoami

Vikas
Chaurasia

AI/ML Engineer · GenAI Application Developer

Building end-to-end AI systems — RAG pipelines, LangGraph multi-agent orchestration, and production ML APIs that solve real business problems.

🎓
M.Sc.
Data Science & Business Analytics
📊
GenAI
RAG · Agents · Deployments
🗃️
Python
RAG · ML Pipelines · APIs
terminal
$ from langchain.vectorstores import Chroma
$ llm = Ollama(model="llama3.1:8b")
$ agent = LangGraph.compile(workflow)
$ rag_chain.invoke({"query": user_input})
Status: RAG pipeline deployed ✓
$ docker build -t ml-api .
Status: API live on port 8000 ✓
$ fastapi run ml-api --host 0.0.0.0 --port 8000

About Me

Vikas Chaurasia - AI/ML Engineer & GenAI Developer

Vikas Chaurasia

AI/ML Engineer · GenAI Application Developer

I design, build, and deploy GenAI systems that turn domain knowledge into reliable, production-ready decision support.

With an MSc in Data Science & Business Analytics, I combine SQL, Python, ETL workflows, and business-facing analytics to design reliable data products, and ship GenAI + ML systems that deliver measurable outcomes.

🧠
Design
AI Architecture
Phase 1
🔧
Build
End-to-End Systems
Phase 2
🚀
Deploy
Production APIs
Phase 3

// What I Deliver

  • RAG pipelines that retrieve and reason over domain-specific documents
  • Multi-agent systems with LangGraph for complex, multi-step business workflows
  • Production ML APIs (FastAPI + Docker) with experiment tracking via MLflow
  • GenAI applications that non-technical stakeholders can actually use

// My Approach

  • 🧠 Start from the business problem — then pick the right model/architecture
  • Build for production from day one — not just a working notebook
  • 📊 Evaluate rigorously — calibration, drift monitoring, benchmark metrics
  • 🚀 Ship it — live deployments, not just GitHub repos

Looking for an AI/ML Engineer who ships production systems?

AI & ML Engineering Stack

// GenAI & Orchestration

🔗
LangChain
🕸️
LangGraph
🤗
Hugging Face
Groq / Ollama
🤖
LLMs (Llama 3, GPT-4)

// Machine Learning & APIs

🤖
Scikit-learn
🔥
FastAPI
🐳
Docker
🧮
NumPy / Pandas

// Data & Query Stack

🐍
Python
🗃️
SQL / Postgres
📐
Vector DBs (Chroma/Pinecone)

// Business Analytics

📊
Power BI
📈
Tableau

Analyst, Operations

2022-2023

BluBrick Realty

  • • Extracted, cleaned, and validated time-sensitive customer and property data from multiple sources
  • • Built Excel and Power BI reporting workflows that improved reporting efficiency by 30%
  • • Partnered with cross-functional teams to resolve data discrepancies and support KPI-driven decisions

Education

MSc Data Science & Business Analytics 2025
Bachelor of Commerce 2021

Featured Projects

GenAI and production ML systems built for real business outcomes

5
Featured Repos
AI & Analytics Portfolio
Curiosity Drive
Learning Mindset
Real-time
Business Insights
Decision Support
🏥

AI Medical Insurance Cost Predictor

📌 GitHub Featured
AI Medical Insurance Predictor

End-to-end ML pipeline with systematic model selection across 4 algorithms (Gradient Boosting, Random Forest, SVR, Linear Regression), feature engineering, and hyperparameter tuning — achieving R² = 0.884. Deployed as a live FastAPI-backed Streamlit application with real-time inference and business recommendations. Demonstrates full MLOps cycle: train → evaluate → deploy.

Impact: 4 models · R² = 0.884 · Train → evaluate → deploy
Machine Learning Streamlit Scikit-learn
📰

AI Financial News Sentiment Analyzer

📌 GitHub Featured
AI Financial News Sentiment Analyzer hero page screenshot
Live App Available

Production GenAI system with a dual-source news ingestion pipeline (NewsAPI + NewsData.io), VADER + transformer-based sentiment scoring across 5 market sectors, and a LangChain-orchestrated AI Analyst agent (Llama 3 via Groq) that answers natural language queries backed by live headlines. Processes 98+ articles daily with sub-second inference.

Impact: 98+ articles daily · Dual-source ingestion · Live headline Q&A
GenAI NLP Groq LangChain NewsAPI
🛒

E-Commerce Sales Analysis Dashboard

📌 GitHub Featured
E-Commerce Sales Dashboard

End-to-end analysis of e-commerce performance from 2023-2025, including revenue drivers, profitability by category, and seasonality trends. Explore the repository.

Impact: 3-year sales dataset analyzed across regions and categories for KPI-ready reporting.
Python EDA Dashboarding
📉

Telco Customer Churn Analysis

📌 GitHub Featured
Telco Customer Churn Dashboard

Power BI analysis of churn behavior to identify key drivers and prioritize actionable retention strategies for business teams. Explore the repository.

Impact: 7,000+ customer records profiled to surface high-risk cohorts and retention levers.
Power BI Churn Analysis KPI Insights
🎯

Campaign Performance ETL Pipeline

📌 GitHub Featured
Marketing Campaign ETL Dashboard

End-to-end SQL + Power BI ETL and dashboarding pipeline for campaign analytics, enabling reusable reporting logic for stakeholder decision-making. Explore the repository.

Impact: 55,000+ rows transformed via ETL into funnel, CAC, and ROI decision dashboards.
ETL Pipeline MySQL + Power BI 55K+ Rows

Let's Connect

Open to AI/ML Engineer, GenAI Developer, and Data Scientist roles — Mumbai, Navi Mumbai, Thane, and remote.

Email

vikasjchaurasia@gmail.com

Location

Mumbai, India

LinkedIn

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GitHub

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Typical response time: within 24 hours

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