Computer Science undergraduate focused on backend systems, problem solving, and machine learning research.

LinkedIn | Email | GitHub

Designing and building a video streaming platform integrated with social media and AI capabilities.

• Designing efficient upload pipelines and storage strategies using AWS
• Implementing authentication, authorization, and secure content access control
• Building social features such as user profiles, feeds, and interaction systems
• Integrating AI-driven components including recommendation and intelligent content workflows
• Prioritizing production readiness: scalability, modularity, observability, and future extensibility .

Exploring selective data removal techniques in graph-based learning systems.

• Studying theoretical foundations of machine unlearning
• Experimenting with GNN architectures for node and subgraph unlearning
• Evaluating model stability and performance post-unlearning
• Analyzing retraining costs versus approximation-based unlearning methods

Strengthening core foundations in:

• Learning Neural Network from Scratch
• Learning Architecture of Transformers and Self Attention mechanism.
• Learning and Understanding the various Architectures and Models of CNNs and YOLO.

I am a B.Tech Computer Science student at IIIT Sonepat, currently preparing for software engineering internships with a focus on backend development, system design fundamentals, and competitive programming.

Alongside backend engineering, I actively explore machine learning and computer vision through research oriented college projects and hackathons. I prefer learning from first principles and understanding constraints before optimizing solutions.

• Backend development and API design
• Data structures, algorithms, and competitive programming
• System design fundamentals
• Applied machine learning and computer vision research

Programming Languages
Java, Python, JavaScript
MATLAB
C and C++ (familiar)

Backend and Web
FastAPI, Node.js, Express.js
MERN stack
Next.js (familiar)

Databases
PostgreSQL, MySQL, MongoDB

Machine Learning and Computer Vision
NumPy, Pandas
Matplotlib, Seaborn (familiar)
Scikit-learn (familiar)
OpenCV (familiar)
ROS (familiar)

Tools and Environment
Git, GitHub
Linux
VS Code, Vim

Backend focused project built for real world workflow handling.

• Designed backend logic and APIs
• Focused on data flow, reliability, and maintainability

Full stack video streaming platform.

• Backend APIs for authentication and media handling
• End to end MERN stack implementation

Backend system designed during a hackathon.

• API design and data handling under time constraints
• Focused on correctness and scalability over features

AI powered health assistant backend.

• Built APIs using FastAPI
• Implemented chat history and memory handling
• Integrated LLM based workflows

• Solved 300 plus DSA problems on LeetCode
• CodeChef 2 star
• Codeforces rating around 1000
• Regular practice in algorithms, data structures, and problem solving

• Strong interest in machine learning and computer vision
• Used Gemini APIs and LLaMA based models in multiple hackathons
• Worked on college research projects involving:
  • YOLO based architectures
  • Diffusion models
  • SAR ship detection
  • MVTec AD anomaly detection

These projects focused on understanding model behavior, architectural choices, and dataset constraints rather than only accuracy metrics.

I try to understand systems from first principles and when something fails or behaves unexpectedly, I focus on identifying which constraint caused it rather than patching symptoms.

One thing I care about deeply in engineering is understanding why an approach is wrong, not just why another one works.

• Software engineering internships
• Backend focused roles
• Research oriented projects in AI and computer vision

Open to collaboration, discussions, and learning opportunities.