Recent Computer Science graduate with a Master's degree from San Jose State University (May 2026), and 2 years of software engineering experience at Fidelity Investments. I'm interested in AI/ML, data engineering, and backend/systems engineering and currently open to SWE / AI-ML / Data Engineering / SRE roles.

• 🎓 MS CS @ SJSU | B.E. CS (Gold Medalist) @ NIE Mysore
• 💼 Ex-SWE @ Fidelity Investments: built full-stack features (MEAN stack), led a CI/CD migration to Jenkins, and set up observability dashboards + SLOs across 10+ microservices
• 🔭 Master's capstone project: LLM-powered investment research assistant
• 🌱 Exploring knowledge graphs, RAG pipelines, applied ML, and data engineering in fintech usecase
• 🏆 Accepted to Stanford TreeHacks 2026; 3rd place @ Cisco WebEx Hackathon (250 teams); semifinalist @ TiE University Pitchfest
• 📫 Reach me on LinkedIn | [Email: sushmithacg.20@gmail.com]

Languages

Cloud & DevOps

Data, ML & Big Data

AI / LLM Tooling

Web & Backend

LLM-Powered Investment Advisor Assistant Multi-module research assistant combining document retrieval, financial ratio scoring, time-series forecasting, and anomaly detection over large-scale market and filings data — exploring explainable risk insights for fintech applications.

Neurosymbolic Compliance Engine Domain-agnostic compliance engine combining knowledge graphs with controlled LLM reasoning. Built a custom DSL to normalize regulations into expression trees, with multi-lane (symbolic/hybrid/neural) routing and audit traceability — built at Stanford TreeHacks 2026.

Semantic PDF Search Engine End-to-end ETL + vector search pipeline using Airflow for parallel document ingestion, embedding generation, and LLM-based question answering over technical PDFs.

TastyThreads – Cloud-Based Social Review App Full-stack social review platform with image uploads, location search, and Reddit-style interactions. Serverless backend on AWS (Lambda, API Gateway, S3) with MongoDB Atlas, deployed via AWS Amplify.

Quiz App with Cloud-Native Deployment Containerized quiz app deployed on Kubernetes (AWS EC2) with CircleCI-driven CI/CD, CloudWatch logging, and health-check-based alerting for pod failures.

Synthetic Malware Generation using Deep Generative Models Trained VAE, WGAN-GP, and diffusion models to synthesize malware image samples for data augmentation, validated against real malware datasets.

Scalable Email Content Analysis for Targeted Advertising Distributed MapReduce pipeline on Hadoop processing 500K+ records into structured datasets, with K-Means clustering for user segmentation.

Multimodal Sleep Stage Classification Signal processing pipeline for EEG and accelerometer data, exploring windowing strategies and feature engineering for sleep stage classification.

⚡ Fun fact: I've moved across two continents and somehow still haven't lost a single pair of socks.