Hi, I'm Hirdesh
Aspiring AI Engineer & Software Developer | B.Tech IT Student | AWS Certified | Open Source Contributor
HK

About

Aspiring AI Engineer and Software Developer with hands-on experience building machine learning, generative AI, and backend systems using Python, FastAPI, TensorFlow, and modern cloud technologies. Skilled in developing intelligent applications, multi-agent workflows, and AI-powered automation platforms. Passionate about solving real-world problems through scalable software systems and emerging AI technologies.

Work Experience

Skills

Java
Python
JavaScript
TypeScript
C
FastAPI
TensorFlow
Keras
Scikit-learn
Pandas
NumPy
Node.js
NLP
SpaCy
LangChain
FAISS
Prompt Engineering
Hugging Face
Docker
Git
GitHub
Postman
Jupyter Notebook
Google Colab
n8n
AWS
MongoDB
MySQL
SQLite
Firebase
Prisma
Vercel
Heroku

Certificates

awsAWS Certified AI Practitioner
awsAWS Certified Cloud Practitioner
Career Essentials in Data Analysis
My Projects

Check out my latest work

I’ve built projects in AI/ML, data engineering, and full-stack development — including intelligent analytics systems, scalable web platforms, and real-world IoT solutions. Here are some of my selected works.

NexCode AI

Developed an AI-powered developer platform that assists with code generation, project creation, and software development workflows. Implemented automated code validation, syntax checking, and runtime testing using Docker-based sandbox environments. Integrated Cohere Command-R+ and GitHub APIs to automate project scaffolding, code analysis, and pull request creation.

Python
FastAPI
Cohere Command-R+
Docker
Redis
Celery
GitHub API
GitHub

ESG Intelligence Platform

Developed a multi-agent ESG analytics platform for automated risk scoring, compliance auditing, and sustainability monitoring. Designed modular pipelines integrating feature engineering, machine learning prediction models, and SHAP explainability. Built scalable REST APIs using FastAPI and MongoDB for real-time analytics and reporting.

FastAPI
Python
MongoDB
Scikit-Learn
SHAP
GitHub

HireMind AI

Intelligent Recruitment Platform — AI-Powered Candidate Screening & Talent Acquisition tool using LLMs, Next.js, and multi-agent workflows.

TypeScript
Next.js
Python
Docker
LLM
Workflow
GitHub

AI Financial Chatbot

Enterprise-Grade Financial Advisory & Insights Engine designed to provide real-time personal finance advice, portfolio tracking, and interactive market analysis.

TypeScript
FastAPI
React
Python
Chatbot
GitHub

Shiksha AI

Voice-Powered AI Teaching Assistant for Smart Classrooms leveraging speech-to-text, real-time educational context, and Cohere AI.

Next.js
FastAPI
Cohere AI
JavaScript
Python
Docker
GitHub

MedAI Shield

Enterprise Healthcare Data Compliance Console featuring patient record classification, compliance checks, and secure AWS cloud deployment.

React
TypeScript
AWS
Healthcare Compliance
GitHub

CrisisLink AI

Emergency response platform that uses a Flutter app and FastAPI backend to collect SOS reports, cluster incidents, prioritize urgency, and support dispatch decisions with AI.

Flutter
FastAPI
Dart
Python
Crisis Response
GitHub

AI 4 Alzheimer’s

Developed a Convolutional Neural Network (CNN) to classify MRI scans across four stages of Alzheimer’s disease. Implemented image preprocessing, augmentation, and optimization techniques to improve prediction accuracy. Built FastAPI endpoints to serve model predictions and integrate inference into external applications.

Python
TensorFlow
CNN
FastAPI
OpenCV
SQLite
GitHub

Customer Churn Prediction

Built an end-to-end machine learning pipeline for customer churn prediction using real-world business datasets. Performed exploratory data analysis, feature engineering, and model evaluation across multiple algorithms. Improved model interpretability through visualization, performance comparison, and business-focused insights.

Python
Pandas
NumPy
Scikit-Learn
EDA
ML comparison
GitHub

Exolumin

Exoplanet prediction platform using Scikit-learn, Logistic Regression, and FastAPI built during NASA Space Apps Challenge.

Scikit-learn
Logistic Regression
FastAPI
Random Forest
Neural Networks
GitHub
Hackathons

I like building things

During my time in university, I attended 2+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.

HackAvenis

HackAvenis

MSIT DELHI, India

We built an AI-powered ESG Intelligence Platform designed to shift organizations from reactive reporting to proactive, data-driven risk management. The platform leverages a multi-agent architecture to provide real-time ESG scoring, explainable insights, and scalable solutions for enterprises navigating the complex landscape of sustainability regulatory compliance. (Finalist) Secured 5th position.

Nasa Space Apps Challenge

Nasa Space Apps Challenge

Houston, Texas

We built a (ExoLumin) ,an AI-driven platform designed to identify potential exoplanets from NASA’s Kepler mission data. The project leverages machine learning models—such as Random Forest and Neural Networks—to analyze key astrophysical parameters (e.g., orbital period, transit depth, planet radius) and classify celestial objects as confirmed planets or false positives.

Contact

Get in Touch

Want to chat? Just shoot me a dm with a direct question on Mail and I'll respond whenever I can. I will ignore all soliciting.

GitHub
LinkedIn