# Gaurish Anvekar

> Software Engineer | Prev. SWE @C3.ai, AI tools/infra @Moderna

Location: Redwood City, California, United States
Profile: https://flows.cv/gaurish

5+ years of software engineering experience in web products, video systems, applied AI in domains like retail, biotech & media.
Technologies: Java, Python, JS/TS, React JS, Next JS, Node JS, Nest JS, Langchain/Langgraph, LLM SDKs, "Search & Information Retrieval" techniques, vector stores (PgVector, ChromaDB, FAISS), Oracle-ADF, Oracle-Forms, WebLogic server, Pro*C/C++, PL-SQL.
Video Processing Algorithms (in C++, PyTorch, FFmpeg), OpenGL ES, AWS ECS, Fargate, DocumentDB, DynamoDB.

With a full-stack engineering background, I thrive in polyglot contexts and can be a generalist when needed.
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Products:
1. "Easy School (https://easyschool.institute)" - subscription-based SaaS product - "EasySchool". A simple way for new schools/universities/institutes to set up their management system with features - "Virtual Library", "Online Lecture", "Online Attendance" etc.

2. "AI Tutor (https://aitutor.wiki)" - AI-powered PDF tutoring application - voice support, section highlighting etc.

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Open Source stuff:
1. Vectra (500+ GitHub stars) - is a local vector database in Node.js for local files. Merged PRs,
   – Hybrid Search support - https://github.com/Stevenic/vectra/pull/61
   – Bug fixes - https://github.com/Stevenic/vectra/pull/64

2. Parallel PDF Creation (PPC) - A python package (tool) for ”Analysts” to quickly create PDF files out of DataFrame rows, using ”Parallelism” concepts - 1000 PDFs in less than 2 mins - https://pypi.org/project/parallel-pdf-creation/

## Work Experience
### Software Engineer L2 - AI Applications @ C3 AI
Jan 2024 – Jan 2025 | Redwood City, California, United States
• Building ”Enterprise Generative AI Search” product. Current ”General Availability”
product being used by Holcim, SmithRx, Tesla (pilot program).
• Integration of ”Dynamic AI Agent” workflow for - Query Orchestration -> Function
calling -> Unstructured & Structured search tools + web search.
• Addition of ”AI Content Safety” guardrails using ”Azure Content Safety” + C3’s
custom LLM guardrails.
• Tech: Python, TS/JS, LangChain/LangGraph, LLM SDKs, C3’s proprietary Type
system, React JS, testing - (PyTests + jasmine + React Testing library).

### Software Development Engineer II - AI/ML Platform + Tools @ Moderna
Jan 2023 – Jan 2024 | Seattle, WA
• Part of a team building Moderna’s AI/ML GenAI platform, on top of the in-house
”Compute platform” (supporting ~1M jobs), to democratize AI models and fine-tuning across all teams.
• Implementing above platform with Pulumi’s IaaC in TS to provide closed +
opensource models, hugging face models, & GenAI based information retrieval.
• Built 2 products on top of above platform - ”mChat-app” & ”mChat-lite”(browser
extension) - for LLM based QA, document QA & website QA - used company-wide.
• Built end-to-end workflow for doc-based ”Information Retrieval” - doc chunking,
ingestion, retrieval (semantic + keywords(bm25)), LangChain summarization.
• Tech: Node JS, Nest JS, Typescript/Javascript, Python, Cypress, AWS ECS, Docker, Pulumi,
Weaviate, ChromaDB, LangChain, React JS, Next JS, Anthropic, OpenAI SDKs.

### Software Engineer II - Big Data @ Zulily
Jan 2023 – Jan 2023 | Seattle, WA
- Part of Zulily's Experimentation Platform (Xp) on GCP, supporting large-scale experiments across user segments in US/Europe.
- Built a new experimenting feature on the existing A/B Testing framework, to
provide new user segments for stakeholders - Data Scientists, Analysts.
- Affected by a ~50% restructuring, after which Zulily went through an acquisition.
Tech: Python, GCP, BigQuery, Cloud PubSub, Terraform, Airflow, Python Dash, Java.

### Software Engineer Intern - Dolby Vision @ Dolby Laboratories
Jan 2022 – Jan 2022 | Sunnyvale, California, United States
• Implementing ”Dolby Vision” video (HDR) tech for Android using highly
optimized, parallelized code based on GPU compute shaders, to achieve real-time
rendering of ”Dolby Vision” video. Tech: C++, Java, Android, OpenGL ES, ExoPlayer.
• Fixed 3 months pending task to improve picture quality (SM score), by scouring
20K lines of codebases in C++, Java, MATLAB.
• Fixed a high-priority bug, to avoid redundant processing of ”Dolby Vision” on Xiaomi, Samsung devices.

### Graduate Research Assistant @ SCU Healthcare Innovation and Design
Jan 2022 – Jan 2022 | Santa Clara, California, United States
Built data-visualization tools for "Aromyx Biotech corp" on top of ~20k lines of React JS codebase + Plotly JS.

### Product Engineer - AI & Video Tech @ Myelin Foundry
Jan 2019 – Jan 2019 | Bengaluru
• AI startup providing solutions in media and healthcare.
• Implemented a prototype called SRAAS - "Super-Resolution as a Service", to upscale low-res 
   videos to high-res in real-time on the backend (GCP instance).
• Upscaling is handled by a deep-learning service written in PyTorch and sends upscaled video 
   segments to a node.js server through IPC mechanisms; Upscaled video segments are served from node.js server to front end video player.
• Engineering collaboration to further productionize SRAAS system in TensorFlow & custom deep-learning networks.
• Use cases,
1.) Can reduce CDN storage cost for OTT (Over-the-top) platforms by only storing low to medium quality (SD) videos and upscaling in real-time to high quality.
2.) Content creators can now upload content in medium quality saving upload BW.
3.) Content not shot in HD can now be upscaled in real-time for better QoE (Quality of Experience)..

### Software Engineer @ CAI Solutions
Jan 2015 – Jan 2019 | Bengaluru, Karnataka, India
• Headquartered at Dallas, Texas, CAI specialized in Retail Software Systems with Oracle Retail Suite - Oracle-Forms, Oracle-ADF, PL-SQL, Weblogic, Java.
• Contributed to a product called “Like Store” for a client “Academy Sports” - owning 250 stores across 16 states in the US - to reduce time taken in opening a new store from 3 months to less than 15 days.
• Improved startup time of initial screen to display merchandise hierarchy of “Academy Sports” across multiple stores – implemented a recursive approach to run only some parts of a complex SQL query instead of entire query.
• Optimized SQL & Oracle-DB tuning, to reduce startup time of initial screen (10s to
4s), to display client’s merchandise hierarchy (4M SKUs).
• Usage of Pro-C/C++ over PL-SQL, for compute-efficiency.
Tech: Oracle Forms, ADF, Java, Oracle-PL-SQL, Pro*C, RMS (Retail Merchandising System)


## Education
### Executive PhD in Information Technology
University of the Cumberlands

### Master of Science - MS in Information Systems
Santa Clara University

### Bachelor of Engineering - BE in Information Science and Engineering
Sri Jayachamarajendra College Of Engineering


## Contact & Social
- LinkedIn: https://linkedin.com/in/gaureesha
- Website: https://github.com/GaureeshAnvekar
- Website: https://easyschool.academy
- Website: https://medium.com/@GaureeshA

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Source: https://flows.cv/gaurish
JSON Resume: https://flows.cv/gaurish/resume.json
Last updated: 2026-04-01