Sashank Tadimeti

AI/ML Engineer building production-ready systems that scale.

View my experiences
02

About

I'm pursuing a BS/MS in Computer Science at Georgia Tech, with bachelor's specializations in Artificial Intelligence and Information Internetworks, plus a master's focus in Machine Learning. I work as a Database Systems (CS 4400) Teaching Assistant in addition to taking classes. I have also completed two GenAI Software Engineer internships at Fidelity Investments, and will be an incoming Software Developer Intern at IBM this summer.

My work centers on production-ready AI/ML systems, retrieval infrastructure, scalable backend platforms, and agentic applications. I've built GenAI search engines, RAG systems across 200K+ records, multi-agent research tools, ML pipelines, and EchoBoard, an AI feedback platform I co-founded to turn team input into structured insights.

03

Experiences

IBM

Software Developer Intern

Georgia Tech

Database Systems Teaching Assistant

  • Teaching Assistant for Georgia Tech CS 4400, supporting relational design, SQL optimization, transactions, and distributed systems.
  • Led live coding/review sessions for 150+ students and built SQL exam + autograder test suites for the grading pipeline.

Fidelity Investments

Software Engineer Intern

  • Developed GenAI search engine using Microsoft GraphRAG for 200K+ research records, cutting research time by 5+ hours/week and improving graph generation fidelity by 30%.
  • Optimized real-time inferencing with LanceDB achieving ~10s latency and built Streamlit UI with REST APIs powering 500+ daily queries.

EchoBoard

Co-Founder

  • Founded EchoBoard, an AI feedback platform that turns continuous team input into structured insights, cutting manual analysis by 85%.
  • Built and deployed a Flask/React/Supabase app on Vercel with dashboards and a natural-language AI assistant.

Fidelity Investments

Software Engineer Intern

  • Deployed a production semantic search bot for an internal risk site using Python, Angular, AWS, FastAPI, RAG, and Hugging Face LLMs.
  • Built an SBERT recommendation pipeline at 96% precision and modernized Jenkins CI/CD with Docker + Kubernetes.
04

Projects

Cloud Vibecoder

Mobile AI coding platform that turns ideas into plans, runs agent loops, and opens GitHub PRs.

React, FastAPI, Python, OpenAI, Claude, Anthropic SDK, GitHub API

ML Inference & Evaluation Platform

Production ML inference platform with serving, versioning, regression gates, observability, and canary rollout tracking.

FastAPI, PyTorch, PostgreSQL, Redis, SQL, Docker

TraceLens

Observability stack for traces, grouped issues, investigations, request IDs, fingerprints, and latency rollups.

FastAPI, Python, React, SQL, Docker

Competitive Intelligence (CI) Assistant

Autonomous multi-agent intelligence system for real-time market analysis and interactive landscape exploration.

AutoGen, Python, React, Pandas, Web Scraping, OpenAI

GenETF

ML ETF pipeline with NLP embeddings, PCA, semantic clustering, SLSQP optimization, and backtesting.

Machine Learning, Python, Pandas, scikit-learn, NumPy

NFL Diffusion-Based Play Generator

Conditional diffusion model for coordinated 11-player trajectories using Temporal U-Net and FiLM conditioning.

PyTorch, Diffusion Models, Multi-Agent RL, Temporal U-Nets

Donateables

Cross-platform donation app with geolocation, category-aware matching, and stakeholder-validated impact.

Java, Swift, Android Studio, Xcode, Firebase, Google Distance Matrix API

VisualAid

Portable OCR assistive device with real-time text-to-speech for macular degeneration support.

Python, OpenCV, Pytesseract, Raspberry Pi, CAD

05

Contact

Let's build something impactful.