Lakshay Hooda
@lakshayhooda
AI/ML-focused computer science student building NLP-driven, full-stack applications with Python and React.
What I'm looking for
I’m a 3rd year Computer Science undergraduate specializing in Artificial Intelligence and Machine Learning, with hands-on experience in front-end development and AI-powered applications. I enjoy turning messy real-world inputs into reliable outputs using Python, NLP, and clean engineering.
In my projects, I built InternHunt, an AI internship recommendation system that analyzes resumes and matches users with relevant opportunities. I implemented NLP-based resume parsing with SpaCy, created a skill-gap analysis workflow, and integrated web scraping and APIs to fetch real-time listings.
I also developed an RTSP Livestream Overlay Application using React, Flask, and MongoDB, with drag-and-drop overlays, real-time positioning, and REST APIs for overlay CRUD operations. Alongside that, I achieved a Top 10 placement at the Smart India Hackathon (SIH 2024) and I’m excited to apply problem-solving, software engineering, and machine learning skills to build scalable real-world solutions.
Experience
Work history, roles, and key accomplishments
AI Internship Recommender
InternHunt
Jan 2026 - Present (5 months)
Built an AI-driven internship recommendation platform that analyzes resumes and matches users with relevant opportunities. Implemented NLP-based resume parsing (spaCy) and a skill-gap analysis engine, integrating web scraping and APIs for dynamic listings.
RTSP Livestream Overlay
RTSP Livestream Overlay App
Jan 2026 - Present (5 months)
Developed a full-stack RTSP livestream overlay application with interactive, draggable UI elements. Designed REST APIs for overlay CRUD operations with MongoDB and connected the React frontend to Flask backend using a modular architecture for scalable rendering.
Education
Degrees, certifications, and relevant coursework
Bennett University
Bachelor of Technology (B.Tech), Computer Science Engineering
2023 - 2027
Grade: 8.2/10
Pursuing a B.Tech in Computer Science Engineering at Bennett University, with a GPA of 8.2/10.
RED School
Senior Secondary Education (Class XII)
2022 - 2022
Grade: 87%
Completed Senior Secondary Education (Class XII) at RED School with a score of 87%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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