I love building and training tiny neural nets (GPU-poor life), across anything from text to vision and audio. Most of my experiments explore making models a bit more human-like, and I write blogs to share what I learn.
Work & Education
AI Engineer
Makora (Formerly Mako)
Aug 2025 - Present
Working on Fine-tuning LLMs (SFT/RFT), agentic workflows for kernel gen across CUDA/HIP/Triton.
Research & Teaching Assistant
University at Buffalo, SUNY
Aug 2024 - Aug 2025
Led CV/DL research (2 papers published, Best Research Award), mentored 200+ students on Big Data/Spark.
Founder
Scoleaf
Dec 2024 - Aug 2025
Built AI tutor (1K+ users); implemented agentic orchestration, async streaming, and multimodal stacks.
Contributor
9thGen AI
Feb 2025 - May 2025
Contributed to the development of commercial agentic AI voice agents.
Master of Science in Computer Science (3.8 / 4.0)
University at Buffalo, SUNY
Aug 2023 - Jan 2025
Research Assistant
Vellore Institute of Technology
2022 - 2023
Published journal on email spoofing/vulnerabilities analyzed malware exploits and created 11 mitigation plans.
B.Tech in Computer Science and Engineering (8.7 / 10)
Vellore Institute of Technology
2019 - 2023
Skills
Python · Java · SQL · git · C++
Publications
Adaptive Driver Assistance: Context-based Approach to Pedestrian Safety
Submitted for review | Preprint - TechRxiv
Mapping Crime Dynamics: Integrating Textual, Spatial, and Temporal Perspectives
IEEE UEMCON 2024
A comprehensive examination of email spoofing: Issues and prospects for email security
Computers & Security Journal (Elsevier) 2023
A Traffic Control System
Patent 2023
Blog
These blogs are also cross-posted on Substack. (See my previous Medium articles here @teendifferent)
Projects
Real-time spatial awareness tool for the visually impaired, delivering depth and object tracking under 4ms, 15–25x faster than leading models.
Real-time ingredient detection recipe generation with nutritional information. Cuts costs, saves time, and inspires home cooking.
Efficient facial recognition using Prototypical & Siamese Networks. High-accuracy recognition with limited data for secure verification systems.
Optimizes medical supply delivery in hospitals using RL. Ensures timely delivery of medical supplies, enhancing patient care.
Auto-annotate custom datasets for object detection using Grounding DINO. Speeds up box labeling with zero-shot detection for rare or unseen objects.
A personalized AI assistant with RAG (Retrieval-Augmented Generation). Answers questions based on personal documents, uses vector stores for fast and accurate retrieval.
Enhances predictive policing by analyzing crime data. Optimizes law enforcement resource allocation.
RL in Squirrel Maze & Stock Trader for strategic learning and decision-making. Perfect for testing RL in real-world-inspired scenarios.
Genre classification with ANN, CNN, and Transfer Learning on Mel spectrograms. Ideal for exploring deep learning in complex audio classification.
Implements data loss prevention and privileged identity management. Ensures compliance and security.
Deployment steps for CrowdSec, an SOAR basedintrusion prevention system. Enhances collective security.
Custom DBMS for Formula 1 data management. Enhances efficiency and decision-making powered by PostgreSQL.
Connect
Feel free to contact me at iamtarunreddi@gmail.com