🚀 I’m a results-driven Data Scientist and Backend Developer with 3.5+ years of experience building AI-first applications, REST APIs, and cloud-native solutions. I’ve worked across SaaS, education, healthcare, and inspection tech.

💡 My expertise lies in Python, ML, OpenAI & Langchain, FastAPI, and AWS. I combine backend engineering with data science to deliver scalable, production-ready systems.

• 🔧 MAGIC @ Andromeda
  Built and deployed web/mobile AI products using AWS (Lambda, EC2). Led the dev team, integrated Langchain, and designed CI/CD pipelines.

• 📍 AI Visual Analytics @ T2D2
  Extracted geo-coordinates from annotated images, calculated IoU scores, and created automated AI inspection reports with Human-in-the-Loop validation.

• 📊 Startup ML Stack @ Acadiadata
  Built RAG-based call agent, funding prediction model, notebook-to-web converter, and ML pipelines using DVC and d6tflow alongside Bloomberg’s ex-data scientist.

Languages: Python, SQL, Java, HTML, CSS
ML/AI: Scikit-learn, XGBoost, NLP, Langchain, RAG, OpenAI API
Backend: Flask, FastAPI, REST APIs, OAuth, Postman
Cloud/DevOps: AWS (EC2, S3, Lambda, CloudWatch), GitHub Actions (CI/CD)
Data: Pandas, NumPy, Seaborn, DVC, d6tflow
Databases: PostgreSQL, MySQL, MongoDB, Neo4j
Other Tools: Git, Docker (basic), Jupyter, Figma, Linux

🎓 B.Tech – Computer Science (GGSIPU) | CGPA: 9.41
🏆 Academic Excellence Award – Top 3 in Batch

📜 Certifications:

• SQL for Data Science (University of California)
• Neo4j Certified Professional
• Python (Udemy)
• Intermediate SQL (DataCamp)
• HackerRank & CodeChef Skill Badges