Sreeshanth Ryali
sreeshanthryali@gmail.com · +91 80151 79224 · Portfolio · LinkedIn · GitHub · LeetCode · Chennai, Tamil Nadu
Education
B.Tech in Artificial Intelligence & Robotics
2023 – 2027SASTRA Deemed University, Thanjavur, Tamil Nadu
- CGPA: 8.28
Experience
AI Intern
Sep 2024 – Nov 2024bEarly Technovations, Remote
- Built an automated gait analysis reporting system, reducing neurologist diagnosis time by ~60%
- Engineered data preprocessing workflows for multi-sensor gait time-series data, including data cleaning, normalization, and feature extraction
- Applied unsupervised learning algorithms, using PCA for dimensionality reduction and clustering to identify gait pattern anomalies correlated with Parkinson's disease
Projects
SentinelFinance
Python, FastAPI, LangGraph, FAISS- Designed a multi-agent financial reasoning system to generate personalized financial recommendations
- Built a restricted Python execution tool that lets the LLM write and run custom financial computation code, reducing arithmetic errors
- Implemented a RAG system with a global knowledge base and per-user vector stores, integrated with real-time market data via Tavily and yfinance
Nexa | AI Personal Assistant
Python, FastAPI, LangChain, LangGraph- Engineered a tool-using AI agent, enabling natural-language control over web search, Google Calendar, and Gmail workflows
- Designed a dual-LLM verification pipeline (generator + reviewer), reducing hallucinations through iterative refinement
- Implemented an observability interface exposing execution traces and LLM-to-LLM critiques for transparent agent debugging
TaskFlow
Python, Flask, MySQL, scikit-learn, LangChain- Built a full-stack Kanban board for professors with drag-and-drop task management and session-based authentication
- Automated course planning by integrating LLMs to parse PDF syllabi and generate structured tasks
- Generated ~9,000 synthetic records from a custom probability distribution based on real exam patterns
- Trained a classifier to predict final grades from mid-term scores with noise injection
Technical Skills
Languages
Python, Java
Core CS
Data Structures & Algorithms, OOP, DBMS, Computer Networks
AI / ML
TensorFlow, scikit-learn, NumPy, Pandas, Matplotlib
Backend
FastAPI, REST APIs, MySQL, MongoDB
Tools
Git/GitHub, Linux (WSL), Postman, AWS
Positions of Responsibility
- Coordinator, SALVO, The AI Club
- Head, University Chess Team
Achievements
- Solved 700+ problems on LeetCode, Rating: 1725
- CUET Computer Science: 99.13 percentile
- Rated 2450+ on Lichess, 2250+ on Chess.com (~99.9 percentile)