# Nitish R.G.

> Software Engineering Student · India

Software engineering student at IIT Madras (B.S. Data Science) with strong foundations in CS, data structures, algorithms, and OOP. Ranked #73 globally for autonomous AI agent creation (HackerRank Orchestrate June 2026). HackerRank 5-Star Gold in SQL. Experienced in Python, TypeScript, JavaScript, and C++ with a focus on shipping production-quality software.

## About

Software engineering student at IIT Madras (B.S. Data Science) with strong foundations in CS, data structures, algorithms, and OOP. Ranked #73 globally for autonomous AI agent creation (HackerRank Orchestrate June 2026). HackerRank 5-Star Gold in SQL. Experienced in Python, TypeScript, JavaScript, and C++ with a focus on shipping production-quality software.

## Stack

- **Languages:** Python, TypeScript, JavaScript, Dart, HTML, Kotlin, Java, Jupyter, C#, CSS, Swift, Batchfile, C, C++, CMake, Dockerfile, Makefile, Mako, Mermaid, Objective-C, PLpgSQL, PowerShell, Ruby, Shell, SQL
- **AI & ML:** scikit-learn, LangChain, NLP, OpenAI API, TensorFlow, Agentic Systems, CNNs, Keras, RAG pipelines
- **Frontend:** flutter, React, GSAP, Vite
- **Backend:** REST APIs, FastAPI, Flask, MySQL, Node.js, PostgreSQL, SQLite
- **Infrastructure:** Docker, AWS, GitHub Actions, Google Cloud, Oracle Cloud
- **Other:** AI Agents, Developer Tools, Agent Skills, Claude Code, Coding Agent, cursor, LLM Tools, Open Source, mcp, LLM Evaluation

## Experience

### CODESTREAK

Location: Remote

**Founder**

11.2025 – Present

Founded and scaled an international AI/data engineering community with members from IITs, Stanford, University of Toronto, and quant firms.

- Founded and scaled community to 200+ members across 15 countries

- Designed technical curriculum covering AI/ML, data engineering, and systems design

- Organized weekly technical talks and monthly hackathons

- Built partnerships with researchers at IITs and Stanford

Technologies: Community Building, Technical Leadership, Curriculum Design

### Infosys Springboard

Location: Remote

**AI/Data Intern**

12.2025 – 02.2026

Completed advanced AI/data science tracks; delivered production-style assignments covering deep learning, NLP, and applied ML pipelines.

- Completed 3 advanced AI/ML engineering tracks

- Built production-style NLP pipelines for text classification

- Delivered technical assignments meeting production quality standards

Technologies: Python, TensorFlow, NLP, Deep Learning

### EVOASTRA Ventures Pvt Ltd

Location: Remote

**Data Scientist Intern**

09.2025 – 11.2025

Executed end-to-end data science workflows: EDA, feature engineering, model prototyping, and insight generation for applied business use cases.

- Led EDA and feature engineering for 3 business datasets

- Prototyped and benchmarked 5 ML models for demand forecasting

- Generated actionable insights that informed business strategy

Technologies: Python, pandas, scikit-learn, EDA

### SCJ Entertainments

Location: Remote

**Junior Developer — AI/ML**

08.2025 – 11.2025

Implemented AI/ML components within production delivery cycles; applied engineering principles to model deployment and release activities.

- Integrated ML models into production delivery pipelines

- Built automated testing for model inference endpoints

- Applied TDD practices to ML deployment workflows

Technologies: Python, Docker, CI/CD, ML Deployment

### Encolink

Location: Remote

**Front-End Development Intern**

10.2025 – 11.2025

Engineered responsive, accessible frontend components; improved UI consistency and performance using modern JavaScript and CSS.

- Built 15+ responsive UI components with accessibility compliance

- Improved page load performance by 30% through code splitting

- Established CSS design token system for visual consistency

Technologies: JavaScript, CSS, Responsive Design, Accessibility

### Suvidha Foundation

Location: Remote

**Machine Learning Intern**

08.2025 – 10.2025

Built and validated ML pipelines: data preprocessing, feature selection, model training, and evaluation using scikit-learn.

- Built end-to-end ML pipelines for 2 classification tasks

- Implemented hyperparameter tuning reducing error by 12%

- Delivered model evaluation reports with actionable recommendations

Technologies: Python, scikit-learn, ML Pipelines, Hyperparameter Tuning

## Education

### Sri Shakthi Institute of Engineering and Technology

B.E. Computer Science Engineering · 09.2025 – 05.2029

Coursework: Algorithms and Complexity, Operating Systems, Computer Networks, Software Engineering, Database Systems, OOP with Java.

### Indian Institute of Technology Madras

B.S. Data Science and Applications · 07.2025 – Present

Coursework: Mathematics for Data Science, Statistics, Python, Computational Thinking, DBMS, Machine Learning. Core CS: Data Structures, Algorithms, OOP, Systems Design.

## Projects

### [Svg Ambiguity Bench](https://doi.org/10.5281/zenodo.21682240)

07.2026 – 07.2026

An evaluation methodology for context-augmentation experiments: a format-matched control that separates whether added context helps because of its information or its format. Pre-registered instrument, mutation-audited scorer, worked example in SVG reference resolution.

Technologies: Python, benchmark, evaluation-methodology, llm-evaluation, null-results, preregistration, reference-resolution, reproducible-research, small-language-models, svg

### [Lead Morph AI](https://github.com/NITISH-R-G/LeadMorph-AI#readme)

07.2026 – 08.2026

Intelligently import and normalize CSV lead data into GrowEasy CRM format — a production-grade TypeScript pnpm monorepo (Next.js + Express).

Technologies: TypeScript, crm, csv, csv-import, data-normalization, express, lead-generation, monorepo, nextjs, open-source, pnpm

### [Portfolio](https://nitish-r-g.github.io/Portfolio/)

07.2026 – 10.2026

Connect your profiles — your portfolio builds itself. An open, plug-and-play portfolio engine and standard: evidence-backed, provenance-tracked, conflict-resolved. Not just Nitish's portfolio — a fork away from being yours.

Technologies: JavaScript, career-tools, data-provenance, developer-portfolio, developer-tools, github, open-source, portfolio, portfolio-builder, portfolio-generator, professional-profile, react, resume, static-site-generator, web-extraction

### [Road SOS](https://github.com/NITISH-R-G/RoadSOS)

04.2026 – 09.2026

Offline-first, Gemma-4-powered emergency response app for road accidents in India — crash detection, AI triage, BLE mesh, and multilingual first-aid guidance.

Technologies: Dart, ble-mesh, emergency-response, flutter, gemma, india, offline-first, on-device-ai, road-safety, supabase

### [Screen Saathi](https://github.com/NITISH-R-G/ScreenSaathi)

07.2026 – 08.2026

Open-source AI copilot for Android: understands the live screen via the Accessibility API, resolves the exact UI element you need in natural language (Hindi, Tamil, English), and visually guides you to it — built for people who find modern app UIs hard to navigate.

Technologies: Kotlin, accessibility, agentic-ai, ai, ai-agent, ai-copilot, android, android-accessibility-service, android-ai, assistive-technology, elderly-accessibility, hindi, multilingual, sarvam-ai, screen-understanding, tamil, voice-assistant

### [Hackerrank Orchestrate Skills](https://github.com/NITISH-R-G/hackerrank-orchestrate-skills)

07.2026 – 08.2026

Software for HackerRank Orchestrate: an evaluator, an engineering-memory CLI that remembers what you measured and rejected, a mentor that costs a change before you write it, an adaptive AI-judge interview simulator, and 34 auto-triggering Agent Skills.

Technologies: Python, agent-skills, ai-agents, ai-agents-framework, ai-evaluation, chakra, claude-code, coding-agent, cursor, developer-tools, engineering-memory, hackathon, hackerrank, hackerrank-orchestrate, interview-prep, llm-agents, llm-evaluation, llm-tools, open-source, prompt-engineering, python-cli

### [Intelli Credit V2](https://intelli-credit-v2-phi.vercel.app/)

04.2026 – 10.2026

AI Credit Decision Making Engine

Technologies: TypeScript

### [Composio App Research](https://github.com/NITISH-R-G/composio-app-research)

08.2026 – 08.2026

Agent-driven research pipeline for evaluating API, auth, MCP, credential access, and toolkit feasibility across 100 apps.

Technologies: HTML, ai-agents, api-research, composio, developer-tools, llm, mcp, product-ops, python, web-research

### [Agent Memory Protocol](https://github.com/NITISH-R-G/agent-memory-protocol)

08.2026 – 08.2026

Portable, git-committed memory infrastructure for AI coding agents — survives switching models, providers, IDEs, and harnesses. Adopts the official MCP memory server; doesn't reinvent it.

Technologies: Python, agent-memory, agent-skills, ai-agents, claude-code, coding-agent, cursor, llm-tools, long-term-memory, mcp

### [Skills I Use](https://github.com/NITISH-R-G/skills-i-use)

07.2026 – 08.2026

A curated, cross-agent collection of 400+ Agent Skills for Claude Code, Cursor, Codex & more — reviewed, deduplicated, and fully attributed to original authors.

Technologies: Python, agent-skills, ai-agents, anthropic, awesome-list, claude-code, codex, coding-agent, cursor, developer-tools, llm-tools, mcp, skill-md

### [Amazon Clone](https://amazon-clone-six-sigma-27.vercel.app/)

10.2026 – 10.2026

Amazon-inspired commerce rebuild (Next.js, Drizzle, Postgres)

Technologies: TypeScript

### [Placement OS](https://github.com/NITISH-R-G/PlacementOS)

09.2026 – 09.2026

PlacementOS - AI Placement Operating System for College Students. Reimagine Placement Preparation.

Technologies: TypeScript

### [Graph Engineering Skills](https://github.com/NITISH-R-G/graph-engineering-skills)

08.2026 – 08.2026

8 free AI agent skills on loop and graph engineering — verifier design, autonomy ladders, node/edge architecture, and reviewer nodes, sourced and evidence-tiered.

Technologies: agent-skills, agentic-workflows, ai-agents, claude-code, coding-agent, cursor, langgraph, llm-tools, multi-agent

### [RAVEN](https://github.com/NITISH-R-G/RAVEN)

05.2026 – 06.2026

Relational Verification Engine

Technologies: TypeScript

### [FUTURE DS 01](https://github.com/NITISH-R-G/FUTURE_DS_01)

08.2025 – 10.2026

Future Interns

Technologies: Python

### [Amypo](https://amypo-backend-one.vercel.app/)

03.2026 – 10.2026

Technologies: JavaScript

### [I Portfolio Mac OS Style Portfolio](https://mac-os-portfolio-nine-beryl.vercel.app/)

11.2025 – 10.2026

Technologies: JavaScript

### [Intelli Credit V1](https://github.com/NITISH-R-G/Intelli-Credit-V1)

04.2026 – 06.2026

intelli-credit

Technologies: TypeScript

### [Intelligent University Knowledge Assistant](https://github.com/NITISH-R-G/Intelligent-University-Knowledge-Assistant)

10.2026 – 10.2026

Intelligent University Knowledge Assistant - Phase 0 architecture discovery and Phase 1 engineering foundation (modular monolith + async workers, Python/FastAPI, PostgreSQL + pgvector).

Technologies: Python

### [Rail ATC](https://replit.com/@nitishrg8220psg/Alumni-Login-System)

05.2026 – 06.2026

Technologies: TypeScript

### [React Native Todo App](https://github.com/NITISH-R-G/react-native-todo-app)

10.2026 – 10.2026

React Native CLI To-Do app with TypeScript, authentication, Node.js API, MongoDB, and task management

Technologies: TypeScript

### [Siet Cse Inceptron Landing Page](https://github.com/NITISH-R-G/siet_cse_inceptron_landing_page)

04.2026 – 06.2026

Scroll Animation

Technologies: TypeScript

### [Support Resolution Engine](https://github.com/NITISH-R-G/support-resolution-engine)

09.2026 – 09.2026

Grounded AI customer-support agent: intent classification, historical-resolution retrieval, and auto-handle vs escalate routing, with an evaluation-first harness.

Technologies: Python

### [Intelli Credit](https://github.com/NITISH-R-G/intelli-credit)

02.2026 – 07.2026

Technologies: Python

### [Multi Domain Support Triage](https://github.com/NITISH-R-G/Multi-Domain-Support-Triage)

05.2026 – 10.2026

Technologies: Python

### [Rag Context Optimizer](https://github.com/NITISH-R-G/rag-context-optimizer)

04.2026 – 10.2026

Technologies: Python

### [Ev Grid Oracle](https://github.com/NITISH-R-G/ev-grid-oracle)

04.2026 – 10.2026

Technologies: Python

### [Palm Play](https://github.com/NITISH-R-G/PalmPlay)

01.2026 – 10.2026

Technologies: Python

### [clicky (YC-backed fork)](https://github.com/NITISH-R-G)

Ported a YC-backed macOS Swift app to Windows by rewriting the core in C# .NET with multi-provider AI SDK support.

Technologies: C#, .NET, Swift, Multi-provider AI SDKs

### [DIALECTICA](https://github.com/NITISH-R-G/DIALECTICA)

04.2026 – 10.2026

Technologies: Python

### [Discourse Rag Assistant](https://github.com/NITISH-R-G/discourse-rag-assistant)

12.2025 – 09.2026

Technologies: Python

### [discourse-rag-assistant](https://github.com/NITISH-R-G)

Document-grounded RAG system with FAISS vector indexing, semantic chunking, and structured prompt pipelines. Benchmarked with MRR and Recall@K.

Technologies: Python, LangChain, OpenAI API, FAISS, RAG

### [FACE EMOTION DETECTION](https://github.com/NITISH-R-G/FACE-EMOTION-DETECTION)

08.2025 – 10.2026

Technologies: Python

### [FUTURE DS 02](https://github.com/NITISH-R-G/FUTURE_DS_02)

08.2025 – 10.2026

Technologies: Python

### [FUTURE DS 03](https://github.com/NITISH-R-G/FUTURE_DS_03)

08.2025 – 09.2026

Technologies: Jupyter Notebook

### [Health Drop Surveillance System Main](https://github.com/NITISH-R-G/Health-Drop-Surveillance-System-main)

02.2026 – 10.2026

Technologies: TypeScript

### [INFOSYS SPRINGBOARD](https://github.com/NITISH-R-G/INFOSYS-SPRINGBOARD)

01.2026 – 10.2026

Technologies: Dart

### [Intelli-Credit](https://github.com/NITISH-R-G)

Three-generation AI credit decision engine: rule-based frontend → TypeScript REST API → Python ML risk model with logistic regression and gradient-boosted trees.

Technologies: Python, TypeScript, scikit-learn, REST APIs, ML

### [Palm Play1](https://github.com/NITISH-R-G/PalmPlay1)

01.2026 – 10.2026

Technologies: Python

### [Pedagogy X](https://github.com/NITISH-R-G/PedagogyX)

05.2026 – 10.2026

Technologies: Python

### [RailATC](https://github.com/NITISH-R-G)

Automatic Train Control simulation with block signaling algorithms and collision-avoidance logic using graph traversal and state-machine design.

Technologies: TypeScript, Simulation, Graph Algorithms, State Machines

### [RAVEN — Relational Verification Engine](https://github.com/NITISH-R-G)

Multi-layer financial fraud detection combining document ingestion, cross-document coherence scoring, and graph-based fraud ring detection using NetworkX.

Technologies: TypeScript, Python, NetworkX, Graph Algorithms, Multi-Agent Systems

### [RoadSOS](https://github.com/NITISH-R-G)

Cross-platform emergency roadside app with real-time GPS, SOS dispatch, nearest-responder matching, and offline-first architecture.

Technologies: Dart, Flutter, GPS, Real-time Systems, Offline-first

### [Skills Communicate Using Markdown](https://github.com/NITISH-R-G/skills-communicate-using-markdown)

04.2026 – 04.2026

Exercise: Communicate using Markdown

### [Skills Introduction To Github](https://github.com/NITISH-R-G/skills-introduction-to-github)

04.2026 – 04.2026

My clone repository

### [Smart Task Tracker Mac OS Dark Edition](https://github.com/NITISH-R-G/Smart-Task-Tracker-macOS-Dark-Edition-)

01.2026 – 10.2026

Technologies: HTML

### [Text Bridge3 D](https://github.com/NITISH-R-G/TextBridge3D)

03.2026 – 09.2026

Technologies: Python

### [NITISH R G Leetcode Solutions](https://github.com/NITISH-R-G/NITISH-R-G-Leetcode-solutions)

06.2026 – 08.2026

Technologies: Java

### [RTI](https://github.com/NITISH-R-G/RTI)

08.2026 – 10.2026

Technologies: JavaScript

### [I Portfolio](https://github.com/NITISH-R-G/iPortfolio)

01.2026 – 09.2026

### [Portfolio Builder Claude Session](https://github.com/NITISH-R-G/portfolio-builder-claude-session)

09.2026 – 09.2026

## Awards

### HackerRank Orchestrate — Rank #73 Globally

HackerRank · 2026-06-01

Ranked #73 globally for autonomous AI agent creation in HackerRank's Orchestrate challenge, demonstrating proficiency in multi-agent system design and AI orchestration.

## Certifications

- Oracle Cloud Infrastructure 2025 — Oracle · 2025-01-01
- HackerRank 5-Star Gold — SQL — HackerRank
- Google Gemini Certified University Student — Google
- AWS AI/ML Certifications — AWS
- McKinsey Forward Program — McKinsey

## Links

- Portfolio: https://nitish-r-g.github.io/Portfolio/
- GitHub: https://github.com/NITISH-R-G
