Harish Krishnakumar#

+1 (530)-376-4239 | harishgokul01@gmail.com
Portfolio | LinkedIn | GitHub

Education#

University of California, Davis#

Master’s in Computer Science (Sep 2024 – June 2026)
Davis, California

Vellore Institute of Technology#

Bachelor of Science in Computer Science (Specialization in IoT) (Aug 2019 – July 2023)
Vellore, Tamil Nadu

Experience#

Exploratory Systems Lab#

Graduate Student Assistant-4 (Dec 2024 – Present)
Davis, California
Technologies: C++, Blockchain, Continuous Profiling

  • Developing MemLens, a continuous profiling and monitoring tool for Apache ResilientDB, optimizing blockchain-based database performance.

SMC Finance#

Member of Technical Staff -1 (Sep 2023 – July 2024)
New Delhi, India
Technologies: Golang, TypeScript, Python, Docker

  • Engineered a data migration suite, cutting migration time by 60 percent through parallel processing, handling 40+ tables and 8 million rows.
  • Built a full-stack “Refer & Earn” web application, generating $45,000 in revenue and onboarding 600+ new customers within three months.
  • Designed a self-correcting financial data aggregator, transitioning from a vendor service to an in-house solution, saving $15,000 annually and improving data accuracy.

Byju’s#

Member of Technical Staff -1 (Intern) (Sep 2022 – Sep 2023)
Bangalore, Karnataka
Technologies: ReactJS, NodeJS, MongoDB, AWS

  • Revamped the payment integration system with a configurable rule engine, reducing development integration time by 80 percent.
  • Built a JavaScript client library for Apache Kafka consumers, reducing development time by 50 percent and errors by 30 percent. Adopted by five teams.
  • Developed a CPU and memory profiling tool for AWS ECS, eliminating service interruptions and saving $3,600 per month by resolving 10+ disruptions.

Projects#

MemLens - Continuous Profiling Tool for Databases#

Technologies: C++, Bazel, TypeScript, Prometheus
Duration: Sep 2024 – Present

  • Designed and built a continuous profiling tool to monitor CPU and memory metrics, integrating high-level insights with low-level system calls.
  • Developed an aggregator service using Prometheus and eBPF, with custom C++ hooks for granular storage engine metrics.
  • Created visualizations (line graphs, flame graphs, histograms, dependency graphs) to analyze database performance effectively.

Finsights - AI-powered Bank Statement Analyzer#

Technologies: Python, FastAPI, TypeScript, Google Gemini
Duration: Jan 2025 – Present

  • Built a bank statement analyzer that extracts transaction details, categorizes expenses, and generates financial insights using Llama Parse.
  • Implemented a RAG-based chatbot leveraging ChromaDB and Google Gemini, enabling intelligent financial data querying.
  • Designed the system to support bank statements from multiple countries, tested on statements from 10+ banks for adaptability.

Technical Skills#

Programming Languages#

C++, Golang, Python, JavaScript/TypeScript, Rust, Java, Lua, C#

Databases and Cloud#

PostgreSQL, MongoDB, MySQL, Oracle, AWS, GCP, Terraform

Technologies and Tools#

  • DevOps and Infrastructure: Docker, Kubernetes, Linux, Unix, Git, Bash, CircleCI, CI/CD, CMake, Bazel
  • Backend and Systems: gRPC, GraphQL, Apache Kafka, Redis, Flask, Django, FastAPI, Spring
  • Frontend and Web: React, Redux, WebGL, HTML/CSS, Jest
  • Data and Machine Learning: Ollama, LlamaParse, LangChain, Hugging Face, PyTorch, TensorFlow, NumPy, CUDA, Google Colab