I'm an aspiring Data & AI Engineer passionate about using technology to make smarter, faster, and more human-centered solutions.

🎓 Final-year B.Tech student in Computer Engineering at Pandit Deendayal Energy University (Graduating 2025)
🔍 Exploring the intersection of Machine Learning, Generative AI, and Data Engineering
💡 Keen on building full-stack intelligent systems — from modeling and pipelines to GenAI apps

• 🧠 Data Science Intern – Azilen Technologies (Jan 2025 – June 2025)
  Worked on GenAI and ML-based solutions including:
  • A POC for demand forecasting in manufacturing using XGBoost and time-series models
  • A Generative AI-powered Learning Assessment Platform with contextual chatbot, summarization, and search (Groq, LLaMA, Flask, Kubernetes)

• 🧾 Summer Intern – Synoptek India Pvt. Ltd. (May 2024 – July 2024)
  Built an OCR-based file upload system (MERN + Tesseract + Azure Blob); contributed to client-side business analysis and IT asset evaluation

• 🌍 Junior Manager – AIESEC in Ahmedabad (Feb 2022 – Aug 2022)
  Secured sponsorships, co-led logistics for national MUN conferences, and developed cross-functional communication skills

Languages: Python, JavaScript, SQL, LaTeX
ML/DL: scikit-learn, XGBoost, LSTM, ARIMA, Decision Trees, Random Forest GenAI/NLP: OpenAI API, Groq, LLaMA, LangChain, Prompt Engineering, RAG (Advanced, Graph and CAG) Data & Cloud: Flask, MongoDB, PostgreSQL, Azure Blob, AWS, Metabase, Power BI
Dev Tools: Git, Docker, Trello, Airflow, Kubernetes (basic), VS Code

• 📄 OCR File Upload System
  Full-stack system with secure file upload, OCR text extraction, and Azure-backed storage

• 💳 Credit Risk Assessment using ML
  End-to-end pipeline using XGBoost for loan default prediction with class balancing and model tuning

• 🧴 Skin Disease Prediction Platform
  Smart India Hackathon project using CNN (DenseNet121) with dermatologist mapping and Flask frontend

• 🏆 National-level Basketball Player (2019)
• 🧮 UCMAS Mental Arithmetic – 4ᵗʰ Runner-up at National Level
• 🏃 Completed a Half Marathon in 2h 4m

• 🔗 LinkedIn
• 💻 GitHub