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AdityaHegde23/readme.md

Hello, I'm Aditya Hegde

I'm a Computer Science Master's graduate and Data/Software/AI Engineer passionate about building scalable, high-performance systems!

🎓 M.S. in Computer Science from UC Riverside (3.85/4 GPA) with focus on AI, Data, and Machine Learning.
💻 Currently working as an AI Engineer at Innoflexion.
🚀 Google Cloud Certified Professional Data Engineer with expertise in scalable cloud solutions.
🤝 Looking to collaborate on cutting-edge data engineering and AI projects.
🎯 2025 Goals: Advance in MLOps, contribute to open-source AI projects, and master distributed systems.

🚀 Skills and Technologies:

Programming Languages:

Python C++ SQL

Cloud Platforms & Services:

GCP AWS Azure

GCP: Dataflow, BigQuery, Cloud Run, Data Fusion
AWS: Lambda, Glue, Athena, S3, Redshift, Kinesis, Cognito
Azure: Functions, Blob Storage, SQL Database, DevOps

Data Engineering & ML:

Apache Airflow Docker Kafka

Libraries: PySpark, Pandas, PyTorch, Keras, Boto3, FastAPI, SQLAlchemy
Databases: PostgreSQL, MongoDB, DynamoDB, Snowflake, MySQL
Tools: Git, CUDA, RESTful APIs, LLMs

🚀 Featured Projects:

Paintings Museum Guide AI - LLM Fine-tuning

  • Fine-tuned Mistral-7B using LoRA adapters and 4-bit quantization, reducing model footprint by 75%.
  • Automated end-to-end pipeline to generate professional audio guides for artworks with supervised fine-tuning.

Asteroid Insights Platform - Azure Data Pipeline

  • Built end-to-end data processing pipeline using Azure DevOps CI/CD, Azure Blob Storage, and Azure SQL Database to ingest and transform NASA asteroid data.
  • Implemented serverless architecture using Azure Functions for automated data processing and real-time API integration with NASA datasets.

cuCALC - CUDA Numerical Computing Library

  • Developed CUDA-based C/C++ library for numerical calculus methods (integration, differentiation).
  • Achieved 10x performance improvement over CPU runtime through GPU parallelization and optimization.

multi-agent-trade-analysis-system - Agentic Financial Trading Analysis System

  • A multi-agent system built with CrewAI and LiteLLM that demonstrates complex inter-agent communication and resource sharing for financial trading analysis.

insurance-rag-chat-bot - Live rag chat bot

  • A Retrieval-Augmented Generation chatbot that answers customer support questions based two differnt idenpotent topics based on the questions.

AdVision - Gen AI Advertisement Generator

  • MongoDB Hackathon - Leveraged few-shot learning on GPT to generate prompts for Stable Diffusion.
  • Implemented MongoDB vector search for top-k image retrieval and integrated AudioGen + ElevenLabs for multilingual narration.

Kabini - SQL Query Optimization

  • Generated 20,000 SQL queries using uniform distribution for cardinality estimation research.
  • Implemented Neural Networks and SVM models to compare selectivity estimation accuracy for query optimization.

DOTA2 Stats - Indepth statistical analysis of Dota2 game data

  • A data analytics project exploring 20,000+ public Dota 2 matches to uncover player behavior, hero dynamics, and match outcome patterns using scalable data processing, feature engineering, and visualization techniques.

💼 Professional Experience

AI Engineer | Innoflexion, Pleasonton, CA

July 2025 - Present

  • Developing AI features including LLM RAG and finetuning for code assistant and code generation.

AI Developer Intern | ImpacterAI, San Francisco, CA

June 2025 - July 2025

  • Built AI workflows for campaign and lead management while developing and optimizing Flask-based backend systems.

Founding Software Engineer | Blip Industries, Los Angeles, CA

January 2025 - May 2025

  • Developed Flask backend with Firebase authentication and Firestore database.
  • Engineered real-time drone streaming service using NGINX and MediaMTX on GCP VMs (RTMP/HLS).
  • Handled scalable infrastructure with Cloud Run, GitHub Actions, and Docker.

Software Engineer | Persistent Systems, India

August 2021 - July 2023

  • Managed petabytes of patient gene data using Amazon S3 and Athena for efficient SQL querying.
  • Developed Python algorithms for genetic disease detection, reducing diagnosis time by 80%.
  • Built real-time reporting system with Redshift and automated patient report generation.
  • Partnered with Google to migrate OracleDB to BigQuery using Dataflow, improving transaction processing by 15%.

🏆 Achievements & Certifications

  • Google Cloud Certified Professional Data Engineer
  • MongoDB Hackathon - AdVision Project Recognition
  • 3.85/4.0 GPA - M.S. Computer Science, UC Riverside
  • 8.5/10 GPA - B.E. Computer Science & Engineering

📚 Education

University of California, Riverside

Master of Science in Computer Science | 3.85/4.0 GPA | December 2024
Coursework: AI, Big Data Analytics, Machine Learning, Database Systems, Computational Biomolecular Data

Visvesvaraya Technological University, India

Bachelor of Engineering in Computer Science | 8.5/10 GPA | May 2021

🌐 Let's Connect

"Leveraging cutting-edge tools to deliver impactful, data-driven solutions that scale."

Pinned Loading

  1. cuCALC cuCALC Public

    Cuda 1

  2. Paintings-Guide-AI Paintings-Guide-AI Public

    Jupyter Notebook 2

  3. multi-agent-trade-analysis-system multi-agent-trade-analysis-system Public

    Python