About Me in Details
I'm a final-year B.Tech student in Information Technology at Manipal University Jaipur, holding a CGPA of 9.18/10.
I’m passionate about creating impactful, real-world solutions using modern technologies like Machine Learning (ML), Deep Learning (DL), Large Language Models (LLMs), and Full-Stack Web Development.
My academic excellence is backed by practical experience through diverse projects — from an AI-powered medical chatbot using LLaMA-2 and Pinecone, to a gesture recognition system combining Swin Transformer, ResNet34, and BiLSTM, and a Django-based Online Coding Judge deployed on AWS.
I enjoy blending strong computer science fundamentals with hands-on work — whether it’s tuning machine learning models, building responsive web interfaces, or deploying scalable apps on the cloud. I believe in continuous learning, curiosity-driven development, and solving meaningful problems.
I'm currently seeking for Jobs and Internship opportunities in roles such as: Machine Learning Engineer, Data Scientist, Data Analyst, Software Development or Full-Stack Developer,.
“Build smart, learn faster, and make a difference — that’s how I see every challenge.”
🎓 Manipal University Jaipur (2022 – Present)
B.Tech in Information Technology
• CGPA: 9.13/10
• Top 10% in my Batch
• Strong focus on core CS subjects: DS, OS, OOPs, DBMS
🏫 Emmanuel Mission School, Kota (2020 – 2021)
12th CBSE Board – 83.6%
🏫 Disha Delpi Public School, Kota (2018 – 2019)
10th CBSE Board – 89.6%
🏆 Academic Excellence
• Awarded Dean’s List three times for top CGPAs in 1st, 2nd, and 5th semesters
• Consistently scored above 8.5 GPA across all semesters
• Known for balancing academics, self-learning, and hands-on project work
📜 Certifications
• Machine Learning with Python – Coursera
• Developing AI Applications with Python and Flask
• Data Analysis with Python – Coursera
• Complete Generative AI Course with LangChain and HuggingFace - Udemy
• Design and Anlaysis of Algorithms - Nptel
• J.P. Morgan Software Engineering Virtual Experience (Forage)
Contributions
• Contributor on Girls Summer Script of Code
⚡ CodeVerdict (Django + Docker + AWS)
An end-to-end Online Judge system built with Django that allows users to solve coding challenges in C, C++, and Python.
Executes code securely in isolated Docker containers, provides AI-generated feedback on submissions, and tracks progress.
Fully deployed and containerized using AWS EC2 and Amazon ECR for scalability and performance.
💬 Medical Chatbot using RAG (AI + LangChain + Pinecone + Flask)
A chatbot that gives verified medical responses using the Gale Encyclopedia of Medicine.
Uses Retrieval-Augmented Generation (RAG) for trustworthy and accurate answers.
✋ Hand Gesture Recognition with Hybrid Deep Learning Model
Built using a Hybrid Deep Learning Model (Swin Transformer, ResNet34, BiLSTM) on the HaGRID dataset.
Real-time gesture recognition system with applications in sign language and gesture control.
Achieved 98% test accuracy.
🩸 Blood Finder (ReactJS + Firebase)
A modern web application to register and search donors based on blood group, state, and district.
Displays a list of available donors in real time using Firebase integration.
🩺 Diabetes Prediction System (ML with Scikit-learn)
Predicted diabetes risk using algorithms like Random Forest, SVM, and Voting Classifier.
Implemented feature engineering, exploratory data analysis (EDA), hyperparameter tuning, and performance evaluation.
📚 Book Recommendation System (Flask + Collaborative Filtering)
Suggested books using popularity-based and personalized recommendations.
Developed with Flask, Bootstrap, and machine learning techniques for engaging UX.
👨💻 Programming Languages
• Python, Java, SQL, C, HTML, CSS, JavaScript
🧰 Frameworks & Tools
• Bootstrap, Streamlit, AWS, Docker, Git
🧠 AI/ML & Data Science
• Machine Learning, Deep Learning, Transformers, LLMs
• Libraries: Scikit-learn, Pytorch, Pandas, Langchain
🌐 Web Development
• Frontend: HTML, CSS, JS, ReactJS
• Backend: Django, Flask
• Database: MySQL, Firebase
🔍 Soft Skills
• Strong problem-solving mindset
• Quick learner and adaptable
• Effective communication and teamwork
• Driven by financial independence and personal growth
🏭 Summer Intern – NTPC Limited (Unchahar, UP) | Jul – Aug 2025
• Built a machine learning model to predict and optimize power output using 108 features from real plant data.
• Preprocessed large-scale sensor data, handled missing values, and performed extensive feature engineering.
• Trained a RandomForestRegressor model achieving R² = 0.997 and RMSE ≈ 0.9.
🤖 AI Intern – CloverIT Services Pvt. Ltd. (Remote) | May – Jul 2025
• Built a MultiModel LLM Audit system to compare and analyze code generated by multiple LLMs using custom static analysis metrics (ACI, AMR, ARS).
• Integrated OpenRouter API to fetch responses from ChatGPT, Gemini, DeepSeek, etc.
• Designed user history feature with Firestore to store prompts, model responses, and analysis.
🏢 J.P. Morgan Software Engineering Virtual Experience (Forage) | Aug 2024
• Set up local dev environment and fixed broken files in the repository.
• Used JPMorgan Chase’s Perspective library to generate a live graph for data visualization.