Harshit Mahour
CSE undergraduate with hands-on experience in scalable backend systems, ML pipelines, and structural optimization using PSO, backed by internships at IIT Bombay and Shell.
Education
Indian Institute of Information Technology (IIIT), Bhopal
November 2022 – June 2026 (Expected)
Bachelor of Technology in Computer Science and Engineering
CGPA 7.91/10.00
Relevant Coursework
Data Structure & Algorithm
Database Management System
Computer Networks
Operating System
Distributed Systems
Professional Experience
AI/ML Intern
January 2025 – February 2025
AICTE x Shell x Edunet Foundation
- Designed and evaluated ML pipelines (SVM, Ridge, RF) for sustainability analytics; improved model accuracy by ~18% (R²) on a 15K-record dataset.
- Automated preprocessing and ETL pipelines with Pandas/NumPy, cutting data handling time by 40%.
- Built interactive dashboards and data visualizations that supported strategy discussions across 4+ review meetings with Shell engineers.
- Delivered interpretable visual dashboards (Matplotlib/Seaborn) for 4+ Shell mentorship reviews.
Software Fellow
May 2025 – Present
FOSSEE Fellowship, IIT Bombay (Osdag)
- Spearheading optimization of welded plate girder design using Particle Swarm Optimization (PSO), achieving 10–20% reduction in structural search space and computation time.
- Refactored 800+ lines of Python backend code to improve modularity, parameter tuning flexibility, and reuse across structural design modules.
- Delivered production-ready features in coordination with QA and GUI teams, with zero reported post-release issues.
- Coordinated with QA and GUI teams to deploy reliable features with zero regressions post-deployment.
Skills & Expertise
Programming Languages
Python
C
C++
SQL
Backend & Distributed Systems
FastAPI
Django
REST APIs
Microservices
gRPC
Redis
Docker
MinIO
Azure
Git
Machine Learning & Data
TensorFlow
Scikit-learn
PyTorch (Basic)
Faiss
TF-IDF
Feature Engineering
Model Tuning
Cross-Validation
EDA
Pandas
NumPy
Databases
MySQL
MongoDB
SQLite
Tools & Dev Environment
Postman
GitHub Copilot
ChatGPT
Jupyter
Google Colab
Streamlit
Render
Core Concepts
Distributed Systems
Scalable API Design
Real-time Pipelines
Fault Tolerance
Containerization
Finance & Trading (Basic)
Algorithmic Trading Concepts
Financial Instruments
Projects Portfolio
Cipher Shield
Django
Streamlit
Redis
AES
ECC
Scikit-Learn
- Engineered a full-stack encrypted chat system with AES-256 and ECC, integrating JWT authentication and Redis-based rate limiting.
- Achieved 92% precision in real-time ransomware detection using a TF-IDF + Logistic Regression pipeline, deployed via Docker and Streamlit.
- Dockerized and deployed on Streamlit Cloud; stress-tested for ~10-20 concurrent users and response latency of <250ms for encrypted chat.
MelodyMind
FastAPI
Docker
TensorFlow
Streamlit
- Redesigning a monolithic content-based recommender into a distributed microservices system using Spark, Docker, and FastAPI, targeting ~1000 song entries.
- Integrating TensorFlow-based feature pipelines and Faiss for fast similarity search (~20× faster than naive pairwise comparison) across large-scale audio vectors.
- Designed for real-time inference on ~20 to 50 queries/day, with infrastructure supporting horizontal scaling across 3+ containerized services.
Achievements & Certifications
Graph Camp 2024 (2024)
Selected from over 80,000 applicants for advanced problem-solving training by a Codeforces Master; featured in the official Hall of Fame.
AtomQuest 2024 (2024)
Reached Round 2 from 14K+ participants; ranked top ~2000.
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