Summary
Results-driven Computer Science undergraduate with deep proficiency in full-stack development, AI/ML, and system-level programming (C++, C). Building robust applications with performance and scalability in mind. Strong foundation in algorithms, problem solving (Leetcode 300+), and real-world project experience.
Education
- School:St.Xaviers(2006-2023)
- College:Punjab Technical University(2024-2028)
- Degree:B.Tech in CSE [2024 – 2028 Expected]
- AI/ML Specialization Track
- 1st Year GPA: 8.9/10
Work Experience
- AI Research Intern (Remote) — Meta [07/2025 – Present]
- Trained BERT variants for multilingual QnA using HuggingFace Transformers
- Implemented prompt tuning and few-shot learning with GPT-3.5 API
- Reached F1 score improvement of 12% over baseline in low-resource setting
- ML Paper Reproduction Project — ArXiv (06/2023-12/2023)
- Replicated “LoRA: Low-Rank Adaptation for LLMs” in PyTorch
- Benchmarked parameter savings on fine-tuning llama-2-7b with custom Indian dialect dataset
Technical Skills
- Languages: C++, Python, JavaScript, HTML5/CSS3
- Frameworks: React, Next.js, Express.js
- Tools: Firebase, Git, Postman, VS Code
- Database: Firestore, MongoDB
- AI Tools: OpenAI API, LangChain, HuggingFace
- DSA: 300+ problems on Leetcode
Achievements
- Finalist – Adobe Hackathon 2025
- Rank #1 in University CodeSprint 2025
- Built 3 AI apps with 500+ user engagement in total