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Summary
Overview
Work History
Education
Skills
Certification
Publications Open Source
Additional Projects
Languages
Timeline
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M. Adhitya
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M. Adhitya

Ahmedabad,GJ

Work Preference

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Open to work

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Summary

AI/ML Engineer who ships production AI tools and open-source libraries end to end. Skilled in Python, React, Node.js, and generative-AI integration (LLM orchestration, RAG, APIs, auth, payments, cloud deployment). Have independently designed, built, and launched multiple live full-stack AI applications and published open-source packages. Seeking AI/ML internships and full-stack engineering roles where I can own features from idea to deploy.

Overview

3
3

Years building software

8
8

Full-stack projects shipped

Work History

AI Engineer

Rewrite Labs
Ahmedabad, Gujarat
02.2026 - 07.2026
  • Independently designed, built, and deployed 8 live AI products end-to-end — Unclause, ToneFix, FocusVision, Lectura.AI, DataPulse, Rewrite OS, Sage, and Nura — including shared subscription billing and paywall infrastructure (Razorpay and free-tier caps) across the suite. Stack: React, Vite, Python, TensorFlow.js, Groq, Clerk, Vercel.
  • Published 7 MIT-licensed open-source libraries on npm and PyPI — React components and Python utilities extracted from production code — including llm-dispatch, which routes each request to the cheapest capable model across Groq, OpenAI, and Gemini.
  • Libraries: react-premium-gate, react-macro-rings, react-toast-native, react-offline-first, groq-chain, fraud-shield, llm-dispatch.
  • Implemented technical SEO and generative-engine optimisation for the Rewrite Labs site: JSON-LD structured data, Open Graph/Twitter meta, an 8-article blog, SPA sitemap/robots.txt, and Core Web Vitals fixes (LCP and duplicate metadata).
  • Ran the full product lifecycle solo — architecture, implementation, deployment, monitoring, and iteration based on user feedback.

Education

B.Tech - Computer Engineering

IITRAM
Ahmedabad, Gujarat
06-2027

12th - Science (PCM) with IT

Jaipuriar School
Sanpada
07-2022

10th -

Podar International School
Nerul, India
07-2020

Skills

  • React
  • Python
  • TensorFlowjs
  • Groq
  • Razorpay
  • Vite
  • JavaScript
  • Nodejs
  • PostgreSQL
  • SQL
  • REST APIs
  • Testing (Vitest)
  • Structured data
  • Core Web Vitals
  • Sitemap/Robotstxt
  • Generative optimization
  • OpenAI API
  • Google API
  • Scikit-learn
  • C
  • Git
  • GitHub
  • Tailwind CSS
  • Vercel
  • Prompt Engineering

Certification

  • Google Prompting Essentials Specialization, Google / Coursera, 06/01/26
  • Google AI Essentials Specialization, Google / Coursera, 06/01/26
  • Career Essentials in Generative AI, Microsoft & LinkedIn, 12/01/24
  • Career Essentials in Software Development, Microsoft & LinkedIn, 12/01/24

Publications Open Source

  • The Rewrite, A 70-page self-published book with 12 real-life stories about people who changed the direction of their lives. Covers mindset, habits, and building better personal systems., 01/01/26
  • 7 Open-Source Libraries (npm + PyPI), MIT-licensed React components and Python packages, extracted from production codebases., github.com/iamadhitya1, react-premium-gate, react-toast-native, react-macro-rings, react-offline-first, groq-chain, fraud-shield, llm-dispatch, MIT, zero runtime dependencies

Additional Projects

· Customer Segmentation — Retail (K-Means Clustering) · 12/2025 – 01/2026

Built a customer segmentation pipeline on a 200-customer retail dataset, deriving 5 actionable buyer personas (VIP, upsell, impulsive, conservative, budget) from income and spending score features. Applied StandardScaler normalization, used the Elbow Method to select k=5, and K-Means++ initialization for stable convergence; validated segments with Seaborn cluster visualizations.

· Intelligent Pathfinding (A* Search) · 12/2025

Implemented A* search in Python to navigate a 10×10 obstacle grid, using a Manhattan-distance heuristic and a heapq min-heap priority queue for efficient node expansion. Separated environment, algorithm, and visualization into clean OOP layers.

·Credit Card Fraud Detection Model · Group Project · 10/2025 – 11/2025

Co-developed a Random Forest-based machine learning model to automate credit card fraud detection, collaborating on code structure and algorithm optimization in Python for robust data analysis.

Languages

English
Proficient (C2)
C2
Hindi
Proficient (C2)
C2
Tamil
Proficient (C2)
C2

Timeline

AI Engineer

Rewrite Labs
02.2026 - 07.2026

B.Tech - Computer Engineering

IITRAM

12th - Science (PCM) with IT

Jaipuriar School

10th -

Podar International School
M. Adhitya