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I enjoy solving problems that don't come with obvious answers. My curiosity usually leads me to papers, prototypes, and plenty of experimentation.

I'm interested in research-driven engineering and building intelligent systems that solve meaningful problems. Currently an AI Engineer Intern at Yugasys, pursuing a B.Tech in Computer Science (AI & ML) at PES University.

  1. 2026

    Discrete Representation Learning: A Review

    B. R. Hegde et al.  ·  ICMLC 2026

  2. 2025

    Transaction Graph-Based Predictive Hurdle Model for Credit Scoring in DeFi Lending Protocols

    B. R. Hegde et al.  ·  IJDSA

  1. Yugasys

    AI Engineer Intern

    • Built a voice AI orchestration backend integrating speech-to-text, intent parsing, and app-side actions across 60+ flows, enabling end-to-end voice-driven user interactions.
    • Engineered real-time communication systems using WebSockets and Agora SDK with state management, exponential backoff, and heartbeat monitoring for reliability on unstable networks.
    • Designed an agent-based integration layer using MCP with clear service boundaries and event contracts; applied domain-driven design and resolved failure modes across multi-service interactions while maintaining CI/CD stability.
  2. Zeru

    AIML Engineer Intern

    • Built a modular data processing pipeline (Python) spanning 5 blockchain protocols for bot detection, enabling protocol-specific preprocessing components to evolve independently.
    • Implemented end-to-end traceability across the pipeline, tagging each transaction from ingestion through classification to ensure debuggability and auditability.
    • Improved production readiness by reducing silent failure modes, adding validation checks at stage boundaries, and ensuring error states were logged and observable.
  3. PES University

    Teaching Assistant — Advanced Data Analytics

    • Wrote exercises and case studies for a 250-student course; sat with student teams on architecture decisions and tricky debugging sessions.
    • Mentored teams on project architecture, debugging strategies, and efficient algorithm implementation.
    • Standardised grading rubrics to prevent assessment drift across 250 submissions.
  4. CIE, PES University

    Teaching Assistant

    • Helped student teams build a blockchain-based learning platform with NFT badges and smart contracts focused on the seam between smart contract logic and the UI, where integration tends to break.
  5. Grain For All

    Engineer Intern

    • Developed a Python-based ETL system to parse and normalise EPA documents into structured outputs using a modular plugin architecture for inconsistent formats.
    • Integrated a multi-step reasoning pipeline using ReAct and AutoGen; added validation and logging at each stage to prevent silent data corruption.
    • Collaborated with cross-functional teams, ensuring modular updates without breaking downstream pipeline components.
  • B.Tech — Computer Science & Engineering (AI & ML)

    PES University · Bengaluru

    • DAC Scholarship recipient
    • Head of Sponsorship, Aatmatrisha '25
    • Head of Sponsorship, Chords '24
    • Head of Social Media, AIKYA

Languages

  • Python
  • C++
  • SQL
  • JavaScript
  • Solidity
  • Bash

AI / ML

  • PyTorch
  • Transformers
  • ViT
  • ReAct
  • AutoGen
  • CLIP
  • LLM Pipelines
  • Vector Quantisation

Systems & Infrastructure

  • Apache Kafka
  • FastAPI
  • WebSockets
  • Docker
  • PostgreSQL
  • REST APIs
  • CI/CD
  • Agora SDK

Practices

  • Domain-Driven Design
  • Event-Driven Architecture
  • Microservices
  • ETL Systems
  • Observability
  • API Contract Design

A recent post — for the full feed, visit my LinkedIn profile.

Open to research collaborations, internships, interesting engineering problems, and good conversations about systems. Best reached by email.

bhoomikahegde85@gmail.com

I aim to reply within two working days.