Artificial Intelligence & Data Science Student | AI/ML Developer | Generative AI Enthusiast | Cloud Learner
π Pune, Maharashtra, India
I'm an Artificial Intelligence & Data Science undergraduate passionate about building intelligent software that solves real-world problems. My interests span Machine Learning, Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Cloud Computing, and Data Engineering.
I enjoy transforming ideas into practical AI applications while continuously sharpening my problem-solving skills through competitive programming. I've solved 500+ Data Structures & Algorithms problems and actively participate in hackathons and open-source projects.
I'm currently focused on mastering cloud technologies, scalable AI systems, and modern software development practices while contributing to impactful projects.
"The best way to predict the future is to invent it." β Alan Kay
- π B.E. Student β Artificial Intelligence & Data Science
- π» AI & Machine Learning Developer
- βοΈ AWS Cloud Learner
- π Open Source Enthusiast
- π§© Competitive Programmer
π§ Soft Skills
Problem Solving β’ Analytical Thinking β’ Team Collaboration β’ Communication β’ Continuous Learning β’ Leadership β’ Time Management
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Fine-tuned a BERT model using LoRA to accurately detect AI-generated vs human-written content. Built a complete NLP pipeline (dataset creation β preprocessing β training β inference). Tech: PyTorch β’ Hugging Face β’ LoRA β’ BERT |
Built a Retrieval-Augmented Generation system using LangChain, ChromaDB & Hugging Face embeddings for semantic search over custom documents. Tech: LangChain β’ ChromaDB β’ Hugging Face β’ RAG |
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Intelligent resume analysis platform that evaluates resumes against job descriptions and improves ATS compatibility using TF-IDF & spaCy. Tech: React β’ FastAPI β’ TF-IDF β’ spaCy |
Implemented multiple ML models (Random Forest, Logistic Regression, XGBoost) to predict customer churn with high accuracy. Tech: Scikit-learn β’ XGBoost β’ Pandas β’ ML |
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LSTM-based deep learning model built with PyTorch for forecasting stock prices from historical financial data. Tech: PyTorch β’ LSTM β’ Deep Learning β’ Time Series |
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Bachelor of Engineering (B.E.)
Artificial Intelligence & Data Science
Siddhant College of Engineering
Savitribai Phule Pune University
π 2024 β 2028β|βπ CGPA: 8.41
- β Microsoft Certified: Fabric Analytics Engineer Associate (DP-700)
- β Google Advanced Data Analytics Professional Certificate
- β DeepLearning.AI β Deep Learning Specialization
- π Solved 500+ Data Structures & Algorithms problems
- π Participated in 10+ National-Level Hackathons
- π― Flipkart GRID Technical Assessment 2026 β Shortlisted
- π Active learner in AI, Cloud Computing & Data Engineering
βοΈ AWS Cloud
π³ Docker & Kubernetes
ποΈ System Design
π LangGraph
π€ Multi-Agent AI Systems
βοΈ MLOps
π Data Engineering
I'm currently seeking internship opportunities in:
Artificial Intelligence β’ Machine Learning β’ Data Science β’ Cloud Computing β’ Software Development


