I’m a B.Tech student in Electronics and Communication Engineering (2024–2028) at NIT Kurukshetra.
I build resilient systems at the intersection of IoT sensor analytics, scalable data lakehouses, and applied AI. I am passionate about bridging the gap between hardware/sensor data and intelligent software architectures.

🔎 I’m currently open to:

• Research Internships (Smart Mobility, Federated Learning, Computer Vision, Cloud Security)
• Software/Data Engineering Roles
• Open-source collaboration opportunities

Co-authored & Submitted Conference Paper (2026)

• Engineered an adaptive data ingestion pipeline for high-velocity, heterogeneous IoT sensor streams.
• Developed a mathematical Deviation Detection Model (DDM) utilizing Kullback-Leibler divergence and Kolmogorov-Smirnov tests for real-time data munging and predictive anomaly detection.
• Benchmarked Delta Lake architectures, achieving a 24x performance speedup for complex analytical queries.

Co-authored & Submitted Survey Paper (2026)

• Synthesized over 80 existing data systems to evaluate architectures, metadata management, and schema evolution.

Intra-campus peer-to-peer delivery platform for NIT Kurukshetra

• Tech Stack: React 18, TypeScript, PostgreSQL, Prisma, Docker, Cloudflare (AWS-ready deployment).
• Applied AI & Sensors: Developed an LLM Service Layer integrating Gemini AI for automated user verification, and utilized GPS APIs for spatial-temporal mobility tracking.
• Production-Grade: Implemented JWT auth, secure UPI payments, Helmet, rate limiting, and dynamic pricing.

🔗 Repo: Click Here | 🔗 Live Demo: Click Here

• Focused on cybersecurity and privacy-preserving data streams under Prof. Vikas Mittal.
• Built adaptive ingestion and drift mitigation architectures to ensure high data quality for downstream distributed analytics (Federated Learning).

• Collaborated with distributed engineering teams using JIRA, GitHub Copilot, and Agile workflows.
• Resolved technical debt, debugged core pipelines, and successfully merged 10+ PRs across multiple repositories.

• Programming: Python, C, C++, MATLAB, PHP, JavaScript, TypeScript, SQL, Bash
• Data & Cloud: Apache Spark, Kafka, Delta Lake, PostgreSQL, AWS, Docker, HDFS
• AI & Vision: PyTorch, OpenCV, LLM API Integration (Gemini), Prompt Orchestration
• ECE & Tools: MATLAB/Simulink, LaTeX, GitHub Copilot, Git, JIRA

• Technical & Logistics Coordinator, Alumni Cell, NIT Kurukshetra
• Technical & Web Management Coordinator, Startup Cell, NIT Kurukshetra

• Email: gurmeetgodia@gmail.com
• LinkedIn: Click Here
• Portfolio: Click Here