I am a B.Tech Computer Science and Engineering student specializing in Artificial Intelligence and Machine Learning, with a strong bias toward building software that ships. My work sits at the intersection of AI/ML, full-stack development, API-driven systems, and product engineering.
I focus on practical systems: Python, C, REST APIs, automation, data handling, and interactive web applications. I care about code quality, maintainability, and the user-facing behavior of the product, not just the underlying implementation.
I have also won multiple college-level coding competitions, which reflects implementation speed, problem solving, and execution under constraints.
Open To
- Software engineering internships
- AI / ML internships and applied research work
- Full-stack and product engineering opportunities
| Domain | Proficiency | Details |
|---|---|---|
| Applied Python for AI/ML | Intermediate | Uses Python as the primary language for experimentation, automation, and model-adjacent workflows. |
| Natural Language Processing | Intermediate | Built review analysis and shipping-email extraction workflows using classification and structured text processing. |
| Sentiment Analysis | Intermediate | Experience analyzing feedback signals and converting them into actionable operational insight. |
| Information Extraction | Intermediate | Extracts ports, routes, dates, and logistics metadata from unstructured email content. |
| Data Analysis and EDA | Intermediate | Uses NumPy and Pandas for cleaning, inspection, and exploratory analysis. |
| API-Driven AI Systems | Intermediate | Designs software that consumes external APIs and layers logic, parsing, and orchestration on top. |
Revlens Ai
A review intelligence layer that turns raw guest feedback into decision-ready signals. It is described as: AI-powered review intelligence platform for homestay owners with sentiment analysis, theme detection, and analytics dashboards.
| Stack | Scale | Performance | Security | Impact | Repository |
|---|---|---|---|---|---|
| Python, NLP, analytics dashboard, AI-assisted review processing | Product analytics for hospitality feedback workflows | Fast theme-level inspection with batch-friendly analysis | Structured data handling and local inference-friendly flow | Converts reviews into operational insight for homestay owners | Repo |
IME
A focused extraction system for shipping emails and logistics data capture. It is described as: AI-powered maritime email intelligence. Classifies shipping emails and extracts structured records using local Python NLP.
| Stack | Scale | Performance | Security | Impact | Demo | Repository |
|---|---|---|---|---|---|---|
| Python, text classification, local NLP, structured extraction | Email intelligence for shipping and logistics workflows | Optimized for quick classification and record extraction | Local processing reduces unnecessary data exposure | Transforms unstructured maritime mail into usable records | Live Demo | Repo |
Epoch
A high-fidelity browser experience for countdowns, reveals, and themed interactions. It is described as: A high-fidelity, client-side countdown builder and event reveal platform built with vanilla HTML, CSS, and JS, featuring themed particle systems and local media exports.
| Stack | Scale | Performance | Security | Impact | Demo | Repository |
|---|---|---|---|---|---|---|
| HTML, CSS, JavaScript, client-side rendering, media export logic | Single-page event reveal and countdown utility | Lightweight, no heavy backend dependency | Client-side execution minimizes attack surface | Delivers a polished countdown experience with local exports | Live Demo | Repo |
Python_PBL
A learning-oriented Python project used for problem-based practice and experimentation.
| Stack | Scale | Performance | Security | Impact | Repository |
|---|---|---|---|---|---|
| Python, problem-solving practice, scripting utilities | Academic practice workspace | Simple, direct execution paths for learning | Low-complexity scripts with limited surface area | Supports core Python fluency and practice | Repo |
Neural Nexus
An exploratory AI concept project focused on model-driven workflows.
| Stack | Scale | Performance | Security | Impact | Repository |
|---|---|---|---|---|---|
| AI/ML experimentation, model workflow prototyping | Concept-stage AI workspace | Designed for iterative experimentation | Prototype-first layout, limited operational exposure | Builds familiarity with applied AI structures | Repo |
Taskflow
A practical task-flow application designed around structured operational steps. It is described as: CBC Submission.
| Stack | Scale | Performance | Security | Impact | Repository |
|---|---|---|---|---|---|
| Workflow automation, task tracking, web application | College submission and team-oriented task system | Structured for predictable user flow | Workflow boundaries reduce accidental state changes | Simplifies task coordination and submission tracking | Repo |
Tic
A compact interactive project built around a minimal user experience.
| Stack | Scale | Performance | Security | Impact | Demo | Repository |
|---|---|---|---|---|---|---|
| HTML, CSS, JavaScript, lightweight UI logic | Compact interactive utility | Very small footprint and quick load time | Static-style surface with minimal dependencies | Demonstrates clean micro-interaction design | Live Demo | Repo |
Spacehub
A responsive space browser that turns NASA imagery into an easy-to-use visual app. It is described as: SpaceHub is a clean, responsive web app that displays NASA’s Astronomy Picture of the Day (APOD) using the official NASA API. It provides daily cosmic images with titles, descriptions, and dates, offering users a simple way to explore space visually.
| Stack | Scale | Performance | Security | Impact | Demo | Repository |
|---|---|---|---|---|---|---|
| NASA APOD API, JavaScript, responsive UI | Public API-powered astronomy viewer | Direct API fetch with simple rendering | Official public API consumption with controlled inputs | Makes daily cosmic imagery accessible in a clean interface | Live Demo | Repo |
Cipher
A small encryption and decryption utility built to practice text transformation logic. It is described as: An Encryption , Decryption tool which Encrypts words by rearranging characters and inserting random noise based on a given key, and reverses the process to decrypt.
| Stack | Scale | Performance | Security | Impact | Demo | Repository |
|---|---|---|---|---|---|---|
| Python/JavaScript-style encryption logic, text transformation | Utility-level security tool | Fast character transformation pipeline | Basic obfuscation and reversible transformation flow | Useful for learning secure text manipulation concepts | Live Demo | Repo |
Outing
A college-use workflow application for handling outing requests and records. It is described as: A web app to efficiently track student outings. Students can register, log in, record outings and returns, and view their history
| Stack | Scale | Performance | Security | Impact | Demo | Repository |
|---|---|---|---|---|---|---|
| CRUD workflow app, student requests, record management | Campus operations tool | Straight-line request and approval processing | Structured access to student outing records | Reduces friction in outing management and history tracking | Live Demo | Repo |
Hourglass
A productivity timer built to improve study rhythm and focus management. It is described as: Hour Glass – A sleek, interactive study timer with customizable themes, reminders, focus mode, and live study stats to boost productivity.
| Stack | Scale | Performance | Security | Impact | Demo | Repository |
|---|---|---|---|---|---|---|
| Productivity UI, timer logic, themed front end | Personal focus and study utility | Responsive timer interactions with lightweight rendering | Local-first tool with minimal external exposure | Supports focused study sessions and time discipline | Live Demo | Repo |
Codesprint
A competitive code-typing environment designed for speed, precision, and practice. It is described as: CodeSprint is a competitive, browser-based coding challenge where speed meets accuracy. Players type real code snippets (Python, JavaScript, C — more coming soon!) under time pressure, while every keystroke is tracked.
| Stack | Scale | Performance | Security | Impact | Demo | Repository |
|---|---|---|---|---|---|---|
| Browser-based coding challenge engine, timer, keystroke tracking | Competitive practice platform | Real-time input tracking with low-latency UI | Session-oriented gameplay with constrained user actions | Builds typing speed, accuracy, and coding discipline | Live Demo | Repo |
Pass
A first-generation utility focused on generating strong random passwords quickly. It is described as: My first project, built using HTML, CSS, and JavaScript. It lets users generate secure, random passwords with customizable parameters and copy them instantly.
| Stack | Scale | Performance | Security | Impact | Demo | Repository |
|---|---|---|---|---|---|---|
| HTML, CSS, JavaScript, password generation logic | Utility app for password creation | Instant generation on demand | Randomized output for stronger password hygiene | Makes secure password creation accessible | Live Demo | Repo |
Blaze
A feature-evolving Discord bot built for automation and command-driven interaction. It is described as: Blaze is a versatile Discord bot built to suit my personal requirements, constantly evolving with innovative features as I develop new ideas.
| Stack | Scale | Performance | Security | Impact | Demo | Repository |
|---|---|---|---|---|---|---|
| Discord bot automation, commands, event handlers | Bot platform for personal server workflows | Modular command execution with responsive events | Permission-aware bot behavior and scoped commands | Automates chat workflows and server utilities | Live Demo | Repo |
Clock
A minimal time-display project focused on clarity and reliability.
| Stack | Scale | Performance | Security | Impact | Demo | Repository |
|---|---|---|---|---|---|---|
| Time display utility, UI scripting | Compact clock application | Simple real-time updates | Static utility with negligible surface area | Provides a clean time reference interface | Live Demo | Repo |
Quotes
A compact API-driven app that fetches and displays quotes on demand.
| Stack | Scale | Performance | Security | Impact | Demo | Repository |
|---|---|---|---|---|---|---|
| Public quote API consumption, dynamic UI rendering | Micro web application | Lightweight fetch-and-render loop | Constrained to read-only public API usage | Delivers quick access to curated quotes | Live Demo | Repo |
| Job Title | Company Name | Date Range | Professional Description |
|---|---|---|---|
| Student Software Engineer | Graphic Era Deemed To Be University / Independent | 2025 – Present | Building AI/ML prototypes, full-stack utilities, API-driven applications, and competition-ready software systems with an emphasis on execution and reliability. |
Scope of Work
- Built production-style web apps, bots, and automation tools for academic and personal use.
- Integrated REST APIs, structured JSON workflows, and client-side dynamic rendering.
- Applied Python and C to problem solving, prototyping, and utility development.
- Participated in coding competitions and technical events with a strong focus on implementation quality.
Skills Tags
Python C REST APIs FastAPI JavaScript HTML CSS AI/ML Automation Problem Solving
| Recognition | Details |
|---|---|
| Winner | Won multiple college-level coding competitions organized by technical clubs. |
| Recognition | Earned praise for logical thinking, problem-solving, and efficient implementation. |
| Participation | Active participant in technical events, hackathons, and coding challenges. |
learning:
- Advanced Python architecture
- Applied NLP and ML workflows
- Clean system design and maintainable code
building:
- AI review intelligence tools
- Maritime email extraction systems
- Utility-first web applications
exploring:
- Full-stack engineering patterns
- Agentic automation workflows
- Production-ready portfolio engineering
open_to:
- Software engineering internships
- AI / ML internships
- Product engineering opportunities
