Anish Guntreddi
Software engineer and ML researcher specializing in agentic AI, computer vision, and real-time systems. Currently exploring the intersection of healthcare and machine learning.
Where I've Worked
Industry experience and academic research across AI, quantitative finance, and full-stack development.
Industry Experience
Walmart Global Tech
Software Engineering Intern (Agentic AI)
Top-10 hackathon finalist, 30-50% reduction in manual reporting, 40% productivity boost
- Designed modular AI agent architectures using LangChain and LangGraph with vector database-backed retrieval and contextual memory
- Built full-stack AI systems with React.js front ends and FastAPI back ends, integrating REST and WebSocket APIs
- Engineered scalable NLP, SQL automation, and workflow agents leveraging transformer-based embeddings
DUCAB (Dubai Cable Company)
Software Engineering Intern (Data Science & Algorithmic Trading)
60% reduction in manual processing, 20% improved trading efficiency
- Built enterprise automation solutions using Python and RPA integrated with Excel/VBA and SAP
- Created sales order pipeline that reduced manual processing effort by 60%
- Designed automated stop-loss trading system for the London Metal Exchange via FIX API
AVAS Technology
Software Development Intern
Streamlined faculty and student administration workflows
- Developed and maintained a full-stack web application using PHP, Laravel, MariaDB, and JUnit
- Implemented robust unit testing to ensure code reliability and scalability
- Led backend migration and API development, improving database integration and performance
Research Experience
RCSI School of Postgraduate Studies
Machine Learning Engineer
Advancing diabetic retinopathy detection
- Conducted ML research for ophthalmic image analysis, developing computer vision models
- Built end-to-end image processing and model training pipelines with data augmentation
- Collaborated with clinicians to validate model outputs against medical ground truth
University of Miami Mathematical Finance Lab
Summer ML Researcher (University-Funded Grant)
Improved predictive reliability and Sharpe ratios across stable and high-volatility environments
- Architected AI-powered DeFi trading framework bridging deep learning with quantitative finance
- Designed regime-aware Transformer with token embeddings for dynamic market adaptation
- Integrated volatility layers using GARCH/EGARCH, HMMs, and Monte Carlo simulations
University of Miami Orthopedics Research Lab
Undergraduate Research ML Engineer
Real-time proof-of-concept for intelligent rehabilitation devices
- Developed ML-driven rehabilitation applications at the intersection of machine learning and software engineering
- Designed PyTorch-based CNN for swallow and breathing EMG signal classification
- Built custom NumPy/pandas pipelines for denoising, segmentation, and feature extraction
University of Miami
Undergraduate Research Software Engineer
20%+ increase in patient participation and accelerated recovery outcomes
- Engineered Kotlin mobile application that gamified physical therapy sessions
- Synchronized with rehabilitation machines over Bluetooth for real-time feedback
- Captured diagnostic performance metrics: session adherence, movement accuracy, recovery progression
Synaptix (Research Lab acquired by University of Miami)
Co-Founder & Founding Engineer
Technology acquired by University of Miami for continued rehabilitation research
- Owned and built entire software and ML architecture behind intelligent, adaptive rehabilitation platform
- Architected end-to-end stack: EMG data ingestion, signal preprocessing, feature extraction, and ML inference
- Designed models interpreting muscle activation patterns to classify patient effort and therapy needs
Project Portfolios
Explore my work in machine learning and quantitative finance through interactive portfolio apps.
Tech Stack
Languages, frameworks, and tools I use to build intelligent systems.
Languages
AI / ML
Frameworks
Cloud & DevOps
Data & Databases
Domains
Academic Background
Triple major with a focus on the intersection of computer science, mathematics, and AI.
University of Miami
B.S./M.S. Computer Science
B.S. Mathematics
B.S. Data Science and Artificial Intelligence
Coral Gables, FL
Expected May 2026
Relevant Coursework
Beyond the Code
What I do when I'm not building software or training models.
Weightlifting
I got into weightlifting when I was 18 to balance out my life with a good healthy habit on top of going to classes and working on projects.
Gaming
I have been gaming since I was 7 years old and continue to try new games every day. My favorite genres are action, horror, sports, and indie.
Tennis
I have been playing tennis since I was 9 years old and was a varsity athlete in high school.
Football
Love to play football for fun with my friends.
Basketball
Started playing a lot more recently with my friends.
Cooking
Got into cooking the same time as weightlifting to begin meal prepping after workouts.
Hanging with Friends
Love to try new activities with my friends.
Interactive Terminal
Explore my portfolio the hacker way. Type 'help' to get started.
Get in Touch
Interested in working together? Let's connect.