Distributed Systems
Distributed storage, concurrency, replication, fault tolerance, asynchronous processing, inter-node messaging, caching, TCP/IP, performance profiling, reliability, and production debugging.
Software Engineer / Infrastructure / Product
Hi, I'm Akshat.
Hire me fordistributed systems, DevOps, infrastructure, forward-deployed engineering, computer vision, and platform engineering
15,000+engineers supported
40%+build-time reduction
1,200+daily build/test requests
20%embedded CPU/power improvement
01 / About
Curious enough to break it. Stubborn enough to fix it.
San Francisco Bay Area, CA
I am Akshat Bajpai, a software engineer working across C++, Python, distributed computing, infrastructure, platforms, computer vision, and technically complex products.
I build and debug production software where concurrency, reliability, observability, performance, and real customer outcomes matter. My background also spans embedded software, APIs, visual SLAM, teaching, and customer-facing technical delivery. My product work includes Quantis, a full-stack quantitative-research platform built around a native C++20 analytics engine, secure web services, and an interactive research workspace. I enjoy moving between low-level engineering and user-facing solutions, especially in ambitious domains such as FinTech and crypto, BioTech, AI, robotics, and intelligent infrastructure.
Open to DevOps, infrastructure, platform, full-stack/backend, forward-deployed, solutions, distributed computing, and computer-vision opportunities.
Core engineering
C++, Python, C, Linux, FreeBSD, concurrency, multithreading, IPC, memory/process management, GDB, tracing, profiling
Distributed infrastructure
Storage, Kafka, Flink, Redis, event-driven architecture, replication, fault tolerance, asynchronous processing
Platform & observability
REST APIs, Docker, Kubernetes, CI/CD, CMake, Bazel, Prometheus, Grafana, ELK, production debugging
Research & vision
Monocular SLAM, OpenCV, feature matching, augmented reality, image processing, computer vision experimentation
02 / Capabilities
What I build.
A broad engineering toolkit grounded in production software, practical delivery, and the ability to learn a new domain quickly.
DevOps
CI/CD, build-and-test automation, Docker, Kubernetes, CMake, Bazel, developer workflows, release reliability, operational readiness, and production support.
Infrastructure & Platforms
Linux, scalable developer tooling, cloud services, Prometheus, Grafana, ELK, observability, telemetry, performance analysis, and platform automation.
Full-Stack & Backend
C++, Python, REST APIs, microservices, data ingestion, event-driven architecture, Redis, Kafka, Flink, integrations, and secure backend workflows.
Solutions & Forward-Deployed
Customer discovery, requirements scoping, technical ownership, feature delivery, validation, demonstrations, escalations, root-cause analysis, runbooks, and cross-functional execution.
IoT & GenAI Development
Embedded C/C++, Raspberry Pi, Arduino, intelligent-device communication, computer vision, OpenCV, SLAM, LLM-enabled workflows, AI-assisted engineering, and robotics experimentation.
03 / Experience
Selected work
A concise view of the infrastructure, storage, operating-system, and product environments I have contributed to.
AUG 2021 - PRESENT
Software Engineer II
Dell Technologies / Distributed Storage, OS & Build Infrastructure
Build performance-sensitive storage software and engineering infrastructure across multiple teams, from OneFS operating-system layers to distributed build-and-test platforms.
- OS and storage: developed C/C++ and Python components across Linux/FreeBSD user-space and kernel-adjacent layers for snapshots, Object Lock/WORM, RBM, inter-node messaging, and Platform APIs.
- Performance and debugging: optimized concurrent and multithreaded workflows and diagnosed production issues using GDB, tracing, logs, Linux diagnostics, profiling, and root-cause analysis.
- Build infrastructure: helped deliver distributed build-and-test tooling supporting 15,000+ engineers and 1,200+ daily workflows; caching and parallel execution reduced build times by more than 40%.
- Platform delivery: contributed observability with Prometheus, Grafana, ELK, and custom telemetry while partnering across infrastructure, security, QA, product, and customer-facing teams.
JUL 2021 - AUG 2021
Software Engineer
Credence ID
Integrated biometric authentication algorithms into embedded software, built REST communication bridges, and worked on Android OS and firmware-level optimization. Improved CPU cycles and power consumption by 20%.
AUG 2019 - MAY 2021
Graduate Teaching Assistant
University of the Pacific
Mentored 350+ students across data structures, computer networks, operating systems, and databases. Built AlgoWiz, a real-time data-structures and algorithms visualizer used as an educational tool.
MAY 2018 - JUL 2018
Software Engineering Intern
Doorastha Analytics Pvt. Ltd.
Built a TCP/IP smart-meter-to-server pipeline with C++ and NGINX, partnered with firmware and middleware teams, and helped reduce connectivity costs by 15%.
04 / Projects
Things I have built.
A selection spanning full-stack product engineering, native services, developer tools, computer vision, and research.
01FLAGSHIP PRODUCT BUILD
Quantis Market Intelligence
A polished, interactive market-intelligence demo combining a native C++20 analytics engine with React delivery, a CLI, REST APIs, live one-second snapshots, technical and sentiment modules, and synchronized watchlists.
02OPEN
SLAMPy
An open-source Python implementation exploring ORB feature matching and monocular visual SLAM.
03OPEN
AlgoWiz
A multi-platform visualizer for data structures and algorithms, created to make complex concepts interactive for students.
04OPEN
Autonomous Drone
A Python and computer-vision project for face recognition, tracking, and autonomous drone control.
05OPEN
OpenCV Filters
Real-time Snapchat-style filters and masks using OpenCV, Python, and facial landmarks.
06OPEN
More experiments
Browse the wider collection of programming, embedded, algorithms, and computer-vision projects on GitHub.
05 / Research
Research through a builder's lens.
My academic work centers on computer vision, visual SLAM, and augmented-reality learning experiences.
PUBLICATION / 2021
Towards an indoor navigation system using monocular visual SLAM
Published at IEEE COMPSAC with S. Amir-Mohammadian. The work explores monocular visual SLAM for indoor navigation.
VIEW PUBLICATIONGOOGLE SCHOLARResearch profile
View publications covering visual SLAM, computer vision, augmented reality education, and related academic work.
OPEN PROFILE06 / Writing & Curiosity
Beyond the resume.
Writing, demos, and live building that show the curiosity behind my engineering path.
Videos & project demos
YouTube
Project demonstrations, technical explorations, computer-vision experiments, and things I have built in motion.
WATCHLive codingTwitch
Live programming sessions, experiments, and the occasionally messy process of turning ideas into working software.
WATCH LIVEComputer science blogGeek Expo
Programming notes, technical experiments, project walkthroughs, and explorations from my earlier engineering journey.
OPEN BLOGHobby science blogSciecology
Writing driven by curiosity across science, technology, ecology, and ideas outside day-to-day software work.
OPEN BLOG