Open to Work

Engineering with intention.
Across everything.

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Hi, I'm Saket Chawla. I build scalable software that bridges the gap between complex machine learning models and high-fidelity web experiences. Specializing in RAG workflows, LLM orchestration, and core full-stack software development.

TYPOGRAPHY DESIGN MACHINE LEARNING GENERATIVE AI FULL STACK RAG WORKFLOWS LLM ORCHESTRATION
Featured

Selected Case Studies

[No. 001] Full Stack / Productivity

TaskFlow Management Application

A collaborative project management platform allowing teams to organize tasks, assign roles, monitor workflow transitions, and track timelines in real-time.

  • Built a modern task management web app with create/edit/delete, instant search, and a progress-tracking dashboard using React and Vite.
  • Implemented dark/light mode, local storage persistence, and responsive Framer Motion animations with a shadcn/ui and Tailwind CSS component system.
[No. 002] Generative AI / RAG

JobFit AI

An intelligent system parsing PDF resumes against target descriptions. Generates percentage matches, categorizes missing skills, and suggests specific resume rewrite modifications.

  • Architected a full-stack Generative AI web application scoring resumes against job descriptions using Google Gemini 2.5 and LangChain via semantic matching and ATS keyword analysis.
  • Deployed on Streamlit Cloud with secure API key management, robust error handling, and advanced prompt engineering replicating ATS scoring logic for actionable candidate feedback.
[No. 003] Full Stack / Education

QuizFlow Flashcard & Quiz Suite

A full-stack flashcard and quiz application built with Next.js App Router, featuring interactive 3D-flip study cards, deck management, and a dynamic multiple-choice quiz engine with live scoring.

  • Built a full-stack flashcard and quiz application with Next.js App Router, featuring interactive 3D-flip study cards, deck management, and a dynamic multiple-choice quiz engine with live scoring.
  • Designed a relational schema (Deck, Card, QuizAttempt) with Prisma ORM and SQLite, persisting card mastery and quiz performance analytics to a real-time stats dashboard.
[No. 004] Full Stack / Simulation

Langagraph Visualizer

Interactive browser-based simulator generating dynamic grid, ring, and star network graph structures to visually represent AI agent communication states.

  • Built an interactive browser-based graph simulation tool generating grid, ring, and star network structures with agent-flow animations using SVG rendering.
  • Implemented Dijkstra's Shortest Path Algorithm for real-time optimal routing animation within weighted directed graphs.
About me

Clean Grid, Clever Ideas.

/// Philosophy

Process Over Panic.

01
Logical Architecture: I map system workflows, pipeline nodes, and schemas before typing a line of code.
02
Coffee & Focus: I enjoy solving complex back-end bugs, optimization loops, and API middleware bottlenecks.
03
Designs that know when to stop: I build clean interfaces that prioritize speed, utility, and readable information.
/// Technical Stack

Programming

JavaScript, Python, HTML5, CSS3, TypeScript (basics)

Frontend & Web

React.js, Next.js, Vite, Tailwind CSS, shadcn/ui, Framer Motion, REST APIs

Backend & DB

Node.js (basics), Prisma ORM, Streamlit, Git, GitHub, JWT Auth, SQLite

AI & Generative LLMs

LangChain, LangGraph, Gemini, OpenAI, RAG, PyTorch, Scikit-learn

/// Experiences
MITS Academy
AI & Machine Learning Scholar Specialized training on prediction models, classification, and text data NLP.
2024 - 2025
Achievements

Certifications & Experience Letters

MITS Academy

Post Graduate Program in Artificial Intelligence & Machine Learning

Issued: May 2025 | ID: MITS-AIML-2025-084