CODE
SYSTEM STATUS: ONLINE

FULL STACK
DEVELOPER

I build digital products that refuse to be boring.
React • Python • AI/ML • Node

/// OPEN FOR WORK /// AI & FULL STACK /// GEN AI /// LLM SYSTEMS /// MACHINE LEARNING /// RAG /// AGENTIC SYSTEMS /// PRODUCTION READY /// OPEN FOR WORK ///
Kabilesh C AVATAR.JPG

Who am I?

I am Kabilesh C. An AI and full stack developer who believes software should not just run, it should think. I bring intelligence into products, not just features.

> Specialized in Machine Learning and Full Stack Development.
> Obsessed with building scalable AI powered systems.
> 1+ years of shipping real world systems.

📍 LOCATION: WORLDWIDE
🟢 STATUS: AVAILABLE

TECH_STACK

/// SYSTEM_OPTIMIZED

>_JAVASCRIPT
>_PYTHON
>_JAVA
>_TYPESCRIPT
>_C++
>_HTML5
>_CSS3
>_SQL
>_JAVASCRIPT
>_PYTHON
>_JAVA
>_TYPESCRIPT
>_C++
>_HTML5
>_CSS3
>_SQL
>_REACT
>_NEXT.JS
>_FASTAPI
>_NODE.JS
>_EXPRESS
>_TAILWIND
>_FLASK
>_SPRING BOOT
>_REACT
>_NEXT.JS
>_FASTAPI
>_NODE.JS
>_EXPRESS
>_TAILWIND
>_FLASK
>_SPRING BOOT
>_DOCKER
>_AWS
>_GIT
>_LINUX
>_VERCEL
>_MONGODB
>_MYSQL
>_FIREBASE
>_POSTGRES
>_KUBERNETES
>_REDIS
>_UNIT TESTING
>_DOCKER
>_AWS
>_GIT
>_LINUX
>_VERCEL
>_MONGODB
>_MYSQL
>_FIREBASE
>_POSTGRES
>_KUBERNETES
>_REDIS
>_UNIT TESTING
>_TENSORFLOW
>_OPENCV
>_PYTORCH
>_SCIKIT-LEARN
>_LANGCHAIN
>_PANDAS
>_NUMPY
>_HUGGINGFACE
>_KERAS
>_MATPLOTLIB
>_TENSORFLOW
>_OPENCV
>_PYTORCH
>_SCIKIT-LEARN
>_LANGCHAIN
>_PANDAS
>_NUMPY
>_HUGGINGFACE
>_KERAS
>_MATPLOTLIB
TOTAL_MODULES: 39 CATEGORIES: 4 STATUS: ALL_SYSTEMS_GO MEMORY_USAGE: 256MB

Experience_Log

ML Systems Engineer Intern

Sep 2025 - PRESENT

@ FOZZIL

  • Built real time multilingual conversational AI with voice Q&A and video responses.
  • Deployed end to end FastAPI ML pipelines, reducing latency by ~70%.
  • Created admin system managing 100+ assets and automated updates, improving efficiency by ~60%.

Research Intern

Nov 2025 - Jan 2026

@ IIIT Nagpur

  • Developed explainable hyperspectral band selection using Integrated Gradients.
  • Validated robustness across Indian Pines, Pavia University, and Salinas datasets.
  • Benchmarked against PCA and classical methods on accuracy and efficiency.

ML Research Intern

Oct 2025 - PRESENT

@ Tata Steel (CoE: Agentic Twins)

  • Developing AI driven computer vision for industrial inspection and quality analysis.
  • Building deep learning models for real world visual pattern detection in manufacturing.
  • Supporting Tata Steel research integrating ML with large scale production systems.

Research Intern

Sep 2025 - PRESENT

@ UROP

  • Researching AI solutions for scalable digital agriculture systems.
  • Creating multilingual LLM based farmer advisory via text, voice, and images.
  • Preparing publication on accessible, context aware agricultural intelligence.

ACHIEVEMENTS CONVEYOR

10+ hackathons wins

LIVE_FEED

Winner // Finalist // Best Demo // Best Solution // Rapid Prototyping // Product Strategy // Innovation Spotlight // Product Excellence

Selected Works

JanRakshak - AI powered flood early warning system

JanRakshak

AI powered flood early warning and management system providing real time prediction, evacuation planning, and image based post disaster damage estimation.

React TypeScript Framer Motion PostgreSQL ML YOLO
LokSetu - Digital civic grievance platform

LokSetu

Digital civic grievance platform enabling issue reporting, real time tracking, community prioritization, and transparent resolution by authorities.

React Node.js PostgreSQL Firebase ML OpenCV
PharmaOS - Digital pharmacy management system

PharmaOS

PharmaOS is a digital pharmacy management system for retail and hospital pharmacies that manages medicine inventory, tracks stock and expiry, and streamlines billing and pharmacy operations.

Next.js TypeScript Node.js ML AI PostgreSQL
BioNaut - AI driven space health assistance

BioNaut

AI driven space health and survival assistance concept developed for the NASA Space Apps Challenge.

AI Python Analytics NASA API
SignSync - ML based real time communication system

SignSync

ML based real time communication system converting gestures to text and text to speech for speech and hearing impaired interaction.

Python OpenCV Deep Learning TTS Server
Crashly - AI driven vehicle accident damage detection

Crashly

Crashly is an AI-driven web application designed to detect vehicle accident damage detection, Repair Cost Estimation & Automatic Insurance Claim Tool using YOLOv8 for object detection and Flask for the web interface, Crashly streamlines insurance assessments and repair cost evaluations.

YOLOv8 Matplotlib HTML CSS MySQL JavaScript Flask

USER_REPORTS.txt

LIVE_FEED
REPORT_001.log
2025.txt
FROM: Founder @ Ordinal Labs

"Kabilesh really did a great job taking our massive full stack concept to production incredibly fast. He stabilized the stack and kept our experiment cycles quick without ever breaking our uptime."

REPORT_002.log
2025.txt
FROM: DevOps @ SMOAD Networks

"Working with Kabilesh was a breeze. Kabilesh helped and managed the team so well, optimizing our continuous integration for full stack services and improving our deploy speed."

REPORT_003.log
2025.txt
FROM: CEO @ LakshDigital.in

"He is honestly one of the best creative developers in the town. Kabilesh demonstrated end to end ML pipelines with clear prototypes, explaining data prep, model training, and deployment steps."

REPORT_004.log
2025.txt
FROM: Student @ IIT Madras BS

"Kabilesh guided our cohort through complete end to end machine learning pipelines. It felt like a normal person conversation, yet he is easily one of the best creative developers in the town."

REPORT_005.log
2025.txt
FROM: Student @ Anna University

"Kabilesh really did a great job refactoring our legacy scripts into clean modular packages. He helped and managed the team so well to fix our pipelines so everything passes consistently."

REPORT_006.log
2025.txt
FROM: Student @ VIT

"Kabilesh really stepped up to guide our full stack team. He set clear sprint goals, easily unblocked our integration issues, and delivered an absolutely polished build right on time."

REPORT_001.log
2025.txt
FROM: Founder @ Ordinal Labs

"Kabilesh really did a great job taking our massive full stack concept to production incredibly fast. He stabilized the stack and kept our experiment cycles quick without ever breaking our uptime."

REPORT_002.log
2025.txt
FROM: DevOps @ SMOAD Networks

"Working with Kabilesh was a breeze. Kabilesh helped and managed the team so well, optimizing our continuous integration for full stack services and improving our deploy speed."

REPORT_003.log
2025.txt
FROM: CEO @ LakshDigital.in

"He is honestly one of the best creative developers in the town. Kabilesh demonstrated end to end ML pipelines with clear prototypes, explaining data prep, model training, and deployment steps."

REPORT_004.log
2025.txt
FROM: Student @ IIT Madras BS

"Kabilesh guided our cohort through complete end to end machine learning pipelines. It felt like a normal person conversation, yet he is easily one of the best creative developers in the town."

REPORT_005.log
2025.txt
FROM: Student @ Anna University

"Kabilesh really did a great job refactoring our legacy scripts into clean modular packages. He helped and managed the team so well to fix our pipelines so everything passes consistently."

REPORT_006.log
2025.txt
FROM: Student @ VIT

"Kabilesh really stepped up to guide our full stack team. He set clear sprint goals, easily unblocked our integration issues, and delivered an absolutely polished build right on time."

START A PROJECT

Let's
Talk
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I am currently available for freelance work and open to internship opportunities.

Remote / Earth
ACKNOWLEDGED.
RECEIPT_ID: TX-84920
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