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Bhuvana K S

โœ‰ work.bhuvanaks@gmail.com ยท ๐Ÿ“ Bengaluru, India ยท GitHub

Software engineer with experience in AI agents, graph databases, and backend systems. Skilled in building multi-database integrations and graph-based analytics across production and POC environments.

Work Experience

Software Engineer (Specialist Programmer)Dec 2024 โ€“ Present
Infosys Ltd., Bengaluru
  • Fine-tuned small language models (SLMs) such as Phi-4-mini (3.8B) and Qwen3 using parameter-efficient techniques (LoRA/QLoRA) with Unsloth on ~1,500 curated domain-specific Q&A pairs across ~20 business domains, specialising responses for support-automation workflows.
  • Integrated fine-tuned SLMs with Retrieval-Augmented Generation (RAG) over vector databases (ChromaDB, Pinecone) to keep domain knowledge current without full retraining, and deployed quantised (4-bit, ~4 GB) models locally via Ollama for private, low-cost inference with no cloud dependency.
  • Built multi-database API integrations and backend services using FastAPI and WebSockets across 3+ heterogeneous database systems (document, graph, and relational).
  • Built an end-to-end ML pipeline using Python and MongoDB for data ingestion, preprocessing, model training, and serialisation.
  • Developed a human-in-the-loop validation interface using Gradio with automated retraining and champion model selection, cutting manual model-review effort by ~30%.
  • Integrated AI agent workflows using MAF for intelligent automation across backend modules.
Software EngineerAug 2024 โ€“ Dec 2024
Knowledge Lens Pvt Ltd., Bengaluru
  • Owned the Root Cause Analysis (RCA) module for manufacturing plant asset-malfunction analysis, modelling and storing graph data in Neo4j and JanusGraph.
  • Built V1 of the company's internal backend SDK enabling engineers to visualise multiple graph layouts through a single unified function call, cutting graph-visualisation boilerplate by ~50%.
Software Engineer InternFeb 2024 โ€“ Aug 2024
Knowledge Lens Pvt Ltd., Bengaluru
  • Handled WebSocket API for the FTDM chatbot feature; optimised Cypher and Gremlin queries in Neo4j and JanusGraph achieving 40% faster query performance and 25% reduction in data retrieval time.
  • Built a Gremlin graph visualiser using vis.js and Python; led the Kafka version upgrade for Jublient's client module.
Data Science InternNov 2023 โ€“ Dec 2023
Technofly Pvt Ltd., Bengaluru
  • Worked in Python with NumPy, Pandas, Tkinter and TensorFlow; explored machine learning and deep learning algorithms including YOLO and Keras classification.
  • Built a mini-project on the Google Speech API that converts voice to text and back to an automated voice.

Projects

  • graph-viz: JanusGraph Gremlin traversal paths as interactive graphs with vis.js.
  • FinVoice: voice-first money management with group bill splitting and on-chain settlement.
  • graph-layouts: Python SDK that loads graph layouts by name.
  • Travel Book: a digital scrapbook for travel memories.
  • More on github.com/bhuvanaks02, or the full list.

Skills

Languages
Python, C++, SQL, Gremlin, Cypher
AI & ML
Object Detection, MAF, SLM Fine-tuning, Unsloth, Hugging Face, Ollama, RAG
Backend
FastAPI, WebSockets
Databases
PostgreSQL, MongoDB, Neo4j, JanusGraph, ChromaDB, Pinecone
Tools
Git, vis.js, Gradio

Education

Bachelor of Engineering in Computer Science2020 โ€“ 2024
Global Academy of Technology, Bengaluru ยท CGPA: 9.17

Publications

  • ML-Based Graduate Admission Prediction. Published at the IEEE International Conference on Intelligent Systems, Communication and Applications (CIISCA 2023).

Achievements

  • Hackathon Judge: Invited as a judge at 3 college hackathons across Global Academy of Technology and Dayananda Sagar University (twice).
  • Hackathon Winner, Evolve 2024: 1st place in the office hackathon at Knowledge Lens.
  • 1st Place, College Hackathon 2021: Built a complete front-end website using HTML and CSS.