TUSHAL LOHAR

B.Tech Student | Full-Stack AI/ML Developer | Competitive Programmer

Mumbai, IN.

About

Highly accomplished B.Tech Electronics & Computer Science student specializing in AI-integrated full-stack web application development, leveraging React, Node.js, and real-time WebSocket systems. Proven ability to build production-grade applications with Gemini/Groq AI integrations, scalable backend APIs, and dynamic data dashboards, complemented by a strong foundation in competitive programming as a Codeforces Specialist (Max Rating: 1593) with 600+ DSA problems solved. Eager to apply advanced AI/ML and full-stack expertise to innovate within Alchemyst AI's agent-context platform.

Work

BITE - Food Delivery App (Swiggy Clone)

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Frontend Developer

Mumbai, Maharashtra, India

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Summary

Developed a feature-rich food delivery application clone focusing on robust frontend architecture and enhanced user experience.

Highlights

Developed a Redux Toolkit-powered shopping cart with localStorage persistence and a custom `useOnlineStatus` hook, enhancing network-aware user experience.

Utilized Higher-Order Component (HOC) patterns for efficient conditional rendering and created a custom data-fetching hook with API fallback and memory-leak-safe cleanup.

ResuméAI

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AI/ML Full-Stack Developer

Mumbai, Maharashtra, India

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Summary

Developed an AI-powered resume platform with advanced LLM integration for automated resume generation, feedback, and ATS scoring.

Highlights

Built a full-stack AI resume platform featuring a GitHub repo scanner that leverages the GitHub API to auto-generate accurate project descriptions from source code.

Engineered a dual LLM pipeline, utilizing Gemini for resume generation and Groq/Llama for AI-powered resume roasting and ATS scoring, optimizing for rate limit avoidance.

Implemented structured JSON section feedback for ATS scoring, incorporating Supabase authentication and Puppeteer for robust PDF generation capabilities.

CryptoVerse

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Full-Stack AI/ML Developer

Mumbai, Maharashtra, India

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Summary

Led the development of an AI-integrated crypto intelligence dashboard, delivering real-time market insights and predictive analytics.

Highlights

Integrated Google Gemini AI chat analyst for real-time crypto market Q&A, directly aligning with Alchemyst AI's agent-context platform requirements.

Developed real-time price feeds via WebSockets with LRU caching and IndexedDB persistence, ensuring continuous data access and offline resilience.

Implemented a token-bucket rate limiter, significantly reducing API failures; constructed 17 dynamic pages including live market tables, candlestick charts, portfolio P&L trackers, price alerts, and an AI-powered arbitrage scanner.

Engineered multi-currency support (USD/INR/EUR/BTC/ETH) and dynamic dark/light themes, enhancing user experience and engagement.

Education

St. Francis Institute of Technology (SFIT), Mumbai — University of Mumbai

Mumbai, Maharashtra, India
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B.Tech Electronics & Computer Science Grade: CGPA: 8.3

Courses

Data Structures & Algorithms

OOP

DBMS

Computer Networks

Operating Systems

Awards

Codeforces Specialist

Codeforces

Achieved a maximum rating of 1593, demonstrating advanced problem-solving and algorithmic skills in competitive programming.

CodeChef Starters 229 Global Rank 89

CodeChef

Secured Global Rank 89 in CodeChef Starters 229, showcasing exceptional performance in competitive programming contests.

Languages

English

Skills

Programming Languages

JavaScript (ES2024), TypeScript, C++, Python, HTML5, CSS3, SQL.

Frontend Development

React.js, Next.js, Redux Toolkit, Zustand, Tailwind CSS, React Router.

Backend Development

Node.js, Express.js, WebSockets, REST APIs.

AI/ML & LLM Integration

Google Gemini API, Groq/Llama, Anthropic Claude API, LLM prompt engineering.

Databases

MongoDB, SQL, IndexedDB, Supabase.

Development Tools

Git, GitHub, Vite, Vercel, VS Code.

Core Computer Science Concepts

Real-time systems, LRU caching, Token-bucket rate limiting, Request deduplication, OOP, DSA.