AB.

Developer · Engineer · Problem Solver

Hi, I am |

B.Tech AI & Data Science student building mathematical ML engines from scratch and solving complex algorithmic challenges. Focused on high-performance C++, data structures, and foundational deep learning systems.

Available for Hackathons & Software Engineering Roles

Technical Arsenal

Skills & Technologies

Core technologies I work with daily — from low-level algorithms to machine learning frameworks.

Languages

C++PythonSQL

Machine Learning & Data

NumPyPandasScikit-LearnTensorFlowMatplotlib

Core Computer Science

Data Structures & AlgorithmsObject-Oriented Programming (OOP)DBMSVectorized Math Engines

Tools & Environment

GitGitHubFedora Linux (CLI)Next.js

Featured Work

Projects

Selected projects spanning from-scratch ML implementations to systems engineering concepts.

From-Scratch Vectorized Linear Regression Engine

Multiple linear regression framework with custom Z-score feature scaling and fully vectorized gradient descent routines using pure NumPy matrix operations.

PythonNumPy

From-Scratch K-Means Image Compression Engine

Unsupervised image compression pipeline via color quantization, vectorizing Euclidean distance across 3D RGB channels to balance storage reduction and visual fidelity.

PythonNumPyMatplotlib

NumPy-Only Multi-Layer Perceptron (Digit Recognizer)

Architected a 3-layer neural network from scratch for MNIST classification, programming vectorized forward-prop (ReLU, Softmax) and manual multi-variable chain-rule backpropagation.

PythonNumPyMNIST

AlgoVisual: Interactive DSA Pathfinding & Graph EngineConcept

Real-time visualizer for graph traversal (Dijkstra, A*, Tarjan's SCC) and dynamic programming state spaces with step-by-step memory tracking.

C++WebAssemblyReactFramer Motion

High-Throughput Distributed Rate LimiterConcept

Token-bucket and sliding-window rate limiting engine designed for high-concurrency microservices, benchmarked with automated traffic load generators.

C++RedisPythonFastAPI

Milestones

Achievements & Timeline

Key milestones in competitive programming, hackathons, and professional certifications.

Winner — HackCrux 2025 (LNMIIT)

National Hackathon · 1st Place

2025

1st place in national hackathon building an end-to-end technical prototype under strict time limits.

Hackathon Leadership

7 National-Level Hackathons

Competed in 7 national-level hackathons (Team Lead in 3) architecting core AI/ML + DB modules.

Competitive Programming

1600+ LeetCode Rating

Consistent problem-solving across data structures, graph theory, and dynamic programming domains.

Certifications

Stanford · Microsoft

DeepLearning.AI & Stanford Machine Learning Specialization (Andrew Ng), Microsoft Certified: SQL Fundamentals.


Get in Touch

Let's Build Something Together

I'm always open to discussing new projects, hackathon collaborations, or software engineering opportunities.