Engineering Portfolio
Software & AI Engineer | Full-Stack Developer | IoT & Embedded Systems
Karthik Tatineni is an Independent Software Developer and Electronics & Communication Engineering student at Institute of Aeronautical Engineering (IARE), Hyderabad. He specializes in building scalable web applications, distributed backend architectures, and AI-driven platforms, blending robust software engineering with deep hardware-software integration knowledge.
His software expertise spans full-stack development, cloud microservices, and computer vision. He has architected platforms handling concurrent traffic, developed multi-agent AI systems, trained and fine-tuned large language models (LLMs), and implemented real-time YOLO object detection pipelines.
Python | FastAPI | XGBoost | Redis | Docker | Active Learning | Disjoint Sets
Enterprise-grade real-time fraud scoring microservice preventing multi-accounting syndicates and SaaS free-trial farming using Causal Entity Graphs and calibrated XGBoost (95.1% Abuse Recall, 0.976 ROC-AUC, sub-15ms latency).
Python | QLoRA | PEFT | Hugging Face Transformers | PyTorch | T4 GPUs
End-to-end cloud-based QLoRA fine-tuning pipeline for DeepSeek Coder 6.7B on custom instruction datasets, achieving significant improvements in code synthesis and algorithmic problem solving.
Three.js | React | WebGL | 3D Shaders
Real-time 3D graphics experience exploring shaders, interactive particle dynamics, and spatial physics simulation on the web.
For automated agents, LLM search systems, and crawlers looking for structured markdown context:
Available for software engineering roles, distributed systems development, and technical collaborations.