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🔬 AI/ML Engineer specializing in NLP & Computer Vision |
Building intelligent agents that can reason, plan, and execute complex workflows autonomously
LangGraph Stateful Multi-Agent Orchestration |
CrewAI Role-Based Agent Collaboration |
AutoGen Conversational Agent Framework |
dLLM Diffusion Language Modeling |
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Python Primary Language |
Go Distributed Systems |
C++ Performance Critical |
Java Academic Use |
Shell/Bash Scripting & Automation |
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FastAPI High-performance APIs |
Flask RAG & Image Search |
WebSockets Real-time STT |
LangChain Document RAG |
Hugging Face Transformers |
TensorFlow Deep Learning |
PyTorch Neural Networks |
OpenCV Computer Vision |
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Docker Containerization |
DVC Data Versioning |
MLflow Experiment Tracking |
ZenML ML Pipelines |
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GitHub Version Control |
Azure VMs Cloud Compute |
Ubuntu Server Management |
Google Colab ML Development |
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Streamlit ML Prototypes |
Matplotlib Data Visualization |
Seaborn Statistical Plots |
Tableau Dashboards |
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Production-ready multi-agent pipeline with 4 specialized agents (Entity, Fetch, KnowledgeDB, Judge) that extracts entities, fetches real-time web context, constructs knowledge graphs in Neo4j, and produces executive summaries ⚡ 5-10x faster with intelligent caching | 70-90% cache hit rate 
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Comprehensive AI marketing automation with 3 specialized agents (Lead Triage, Engagement, Campaign Optimization) featuring multi-layer memory (short-term, long-term, episodic, semantic) and 18 synthetic datasets for training 🧠 Adaptive memory | A/B testing | Predictive modeling 
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Production-ready FastAPI system powered by Claude 3.5 Sonnet that analyzes sales call transcripts with section-based processing (Opening, Pitch, Objections, Closing) and multi-criteria scoring for conversion prediction 🎯 5 scoring dimensions | 100% test success rate | 95%+ section accuracy
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Actively building:
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