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

Projects

[No. 001] Generative AI / Web Suite

ResuFlex AI – Resume Customizer

A master data and tag-based ATS resume generator and customization platform with live scrollable PDF rendering, role filtering, and job description ATS keyword matching.

  • Architected a tag-driven resume customization system allowing multi-role bullet filtering (#fullstack, #ai-ml, #backend) with instant live PDF preview.
  • Built with Next.js 15, React 19, and Tailwind CSS featuring JSON backup/import data persistence and real-time job description ATS matching algorithms.
[No. 002] 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. 003] 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. 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

Python, HTML5, CSS3

Web & Full-Stack

React, Next.js, Vite, Tailwind CSS, FastAPI, Git, GitHub

Generative AI & LLMs

LangChain, OpenAI API, Google Gemini API, RAG, Prompt Engineering

Data & Tools

Pandas, NumPy, Matplotlib, Jupyter Notebook, Streamlit Cloud, Vercel, Postman

/// Experiences
MITS Academy
AI & Machine Learning Scholar Specialized training on prediction models, classification, and text data NLP.
Jul 2025 - Dec 2025
/// Education
Amity University Online
Master of Computer Applications (MCA) Specialization in Cybersecurity (Pursuing).
Jul 2026 - Present
Guru Nanak Dev University (GNDU)
Bachelor of Computer Applications (BCA) DAV College, Amritsar (Affiliated with GNDU).
Oct 2022 - Jul 2025
Achievements

Certifications

MITS Academy

Post Graduate Program in Artificial Intelligence & Machine Learning

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