Akshat Gupta

Akshat Gupta

Embedded Systems | Linux Networking | Secure Infrastructure | Quantitative Engineering

I'm a systems engineer with a strong foundation in low-level programming, distributed infrastructure, and secure networking. I've worked on TLS-secure logging for embedded platforms, built vendor-agnostic Wi-Fi drivers, and optimized UAV-based compute systems.

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.

🧰 Tech Stack Overview

Languages: C, C++, Golang, Python, Bash, SQL, R Systems: Linux Internals, Systemd, Kernel Debugging, Secure Boot, TPM Networking: TCP/IP, UDP, IPv4/IPv6, NAT, VLAN, RADIUS, DNS, DHCP, Wi-Fi 6/7 Dev Tools: Git, Jenkins, Docker, BusyBox, GDB, perf, Valgrind, eBPF APIs & Frameworks: REST, gRPC, JSON-RPC, Pandas, NumPy, Matplotlib Cloud: AWS (EC2, S3, Lambda, CloudWatch), SAP HANA, OData Services Databases: MySQL, PostgreSQL, AWS RDS, NoSQL (DynamoDB) Algorithmic: Data Structures, Graph Algorithms, Dynamic Programming, Complexity Analysis Quant/Trading: Market Microstructure Basics, Time-Series Analysis, Backtesting Automation: CI/CD Pipelines, Regression Analysis, Log Parsing, Zero-Touch Provisioning

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.

⬇️ Download PDF

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†’