Hitesh Derkar
AI Engineer proficient in Python and JavaScript
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Won the DataHack challenge by orchestrating a spatial-temporal action recognition pipeline utilizing OpenPose and a Multi-Domain Regularized Graph Convolutional Network (MDR-GCN) to analyze skeletal sequence chunks, accurately extracting and time-stamping complex figure skating...
Engineered a Sequence-to-Sequence (Seq2Seq) symbolic music generation pipeline utilizing U-Net, Bi-LSTM, and Encoder Transformers to synthesize simplified MIDI and sheet music, achieving an 89% F1-score in difficulty-level prediction.
Architected a scalable ETL pipeline to parse...
Engineered a custom AI workflow from the ground up, fine-tuning Llama 3.2 via LoRA to generate rule-compliant mechanics, and directly deployed the model into a real-time Unity environment. Executed rigorous version control and continuous testing workflows, balancing algorithmic...
Multi-agent AI framework (Next.js, Python, SQLite) that orchestrates autonomous LLM personas in a strict peer-review simulation. By enforcing rigorous, stateful debates between agents, the system resolves epistemic drift and archives only consensus-driven, validated research findings into a persistent knowledge base.
Precision farming AI platform that processes drone imagery using a custom YOLOv8 model for weed detection. Integrated a multi-agent LLM architecture and live weather APIs to generate real-time agronomic insights.
