Akshat Gupta

Akshat Gupta

Systems Engineer β€’ Wireless Networks β€’ Explorer

Hello! I'm Akshat β€” a tech-savvy systems engineer with a strong background in embedded development, network architecture, and scalable test design. I'm passionate about building resilient, vendor-agnostic systems, exploring new countries, and collecting stories from tech and travel alike.

Education

University of California, San Diego (UCSD)
MS in Computer Engineering (Sept 2025 – Jul 2027)
Relevant Courses: OS, Communication Networks, Internet Algorithmics, ML, Cloud Infrastructure

BITS Pilani, India
BE in Electrical & Electronics Engineering (Aug 2019 – May 2023) – CGPA: 8.39/10

Experience

Software Engineer – Arista Networks

Pune, India | Jul 2023 – Aug 2025

Built vendor-agnostic WiFi driver layer, TLS-based syslog, CI/CD pipelines with nightly test stability improvements.

Associate Consultant – Indus Insights

Gurgaon, India | Jan 2023 – Jun 2023

Built AWS Datalake pipelines and analytics dashboards for UK-based insurance client.

Software Developer Intern – LTI (Larsen & Toubro Infotech)

Mumbai, India (Remote) | May 2022 – Jul 2022

Built high-performance SAPUI5 apps on SAP HANA; containerized deployments on AWS EC2 using Docker for 1000+ concurrent users.

Skills

πŸ“š Research Experience

ML in Environmental Forecasting

Reviewed 30+ ML models for climate, air, and water forecasting. Focused on interpretability, metrics like RΒ², RMSE, MAE, F1 Score.

πŸ“„ View Project

UAV Base Station Location Optimization

Optimized drone base station locations using Particle Swarm Optimization and 3D trajectory planning for better coverage in urban and rural zones.

⬇️ Download PDF

UAV-Assisted Mobile Edge Computing (MEC)

Explored task offloading in UAV-enabled 5G networks using Deep RL and energy-efficient offloading. Compared performance across 16 papers.

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Task Scheduling in 5G MEC with UAVs

Analyzed scheduling architectures in MEC-enabled 5G networks with UAVs. Discussed tradeoffs, vehicular use cases, and future AI schedulers.

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Predictive UAV Deployment using ML (WEM)

Used Weighted Expectation Maximization for hotspot prediction and UAV placement. Compared against k-means and EM baselines.

⬇️ Download DOCX

Certifications & Awards

Technical Highlights

Volunteering Experience

Outside Work

Japan Blog

Japan Trip

I recently visited Japan and wrote a travelogue reflecting on the tech culture, language barriers, and beauty of everyday systems in the country.

πŸ“–Read My Japan Blog β†’