Arnav
Panicker
Final Year Engineering Student
Passionate about building innovative solutions through code. Specializing in full-stack development, machine learning, and engineering design.
Technical Skills
Tools and technologies I use to craft innovative solutions
Languages
Web Development
ML & Data Science
DevOps & Cloud
Generative AI
Professional Journey
My internship experiences across leading tech companies, building innovative solutions and learning from industry experts.
Working on full-stack web applications using React and Node.js. Collaborating with senior engineers on scalable architecture design and implementing Gen AI solutions.
Key Achievements
- Developed Chrome extension for internal tools
- Implemented Gen AI features for customer support
- Optimized application performance by 40%
Technologies Used
Company Details
Industry: Food Tech
Size: 10,000+ employees
Featured Projects
A showcase of my engineering projects, from AI applications to blockchain and IoT systems.
MOZAIC — Multi-Source Anomaly Orchestration
Real-time anomaly orchestration platform using Model Context Protocol to unify heterogeneous telemetry sources, classify incidents into P1/P2/P3, and reduce alert noise.
EAGLE — Visual Geolocation Model
Multimodal CNN + Transformer system to predict geospatial coordinates from imagery across Maharashtra, using spatial-aware loss functions for better localization.
Harmony + Key Modulation Prediction
Multi-task LSTM model that predicts chord transitions and tonal modulations, trained on 11k MIDI tracks with shared embeddings and dual-head classification.
Swiggy — GenAI Platforms (Internship)
Built AI-enabled platforms: employee pulse analytics, realtime policy assistant (OpenAI Realtime + WebSockets), CV screening with vector search, and an awards system with AI validation.
Education
Academic foundation and continuous learning journey
Bachelor of Technology
Computer Engineering
Mumbai University
GPA
4.0/4.0
Graduation
Expected June 2026
Achievements
- •Co-Chairperson of Synapse (AI/ML club)
- •Winner of PICT International Techfiesta Hackathon
- •Second Runner-up in EY CAFTA
- •Executive Producer at TEDxDJSCE
Relevant Coursework
Current Focus Areas
Specializing in full-stack development, machine learning, and software architecture. Currently working on thesis project involving AI-powered systems optimization.
Get In Touch
Let's discuss your next project or collaboration opportunity.
Let's Connect
Open to internships, collaborations, and ambitious engineering problems. Reach out and I'll respond quickly.
Location
Bengaluru, India
Profiles
Follow my work and connect across platforms.