Build production-ready AI agent systems that scale. I’ve shipped chatbots serving millions of users and hold 2 US patents in this space.

What I deliver:

• Agentic AI Systems — Autonomous agents that reason, plan, and execute multi-step tasks
• MCP Server Integration — Model Context Protocol implementations for tool use and external system connectivity
• Multi-Agent Architectures — Orchestrated agent systems for complex conversational workflows
• RAG & Knowledge Management — Context management pipelines that improve retrieval accuracy (80%→90%+ proven results)
• Generative Reply & Action Systems — Integrating retrieval, moderation, and query rewriting
• Automated Workflow Generation — Playbooks and SOP frameworks with <1% adherence error
• AI Explainability & Testing — Interpretable systems with robust evaluation methodologies

Ideal for: Companies building AI agents, customer support bots, knowledge assistants, or any LLM-powered product.

End-to-end voice and natural language solutions, from speech recognition to sentiment analysis.

What I deliver:

• Voice Biometrics — Speaker identification and verification systems with anti-spoofing
• Speech Recognition — Custom ASR models optimized for your domain using Transformer architectures
• Emotion Recognition — Advanced affect detection from voice and text
• Diarization — Speaker separation for multi-party conversations
• Text Classification & NER — Domain-specific models using BERT, ELMo, and modern architectures
• Sentiment Analysis — Fine-grained intent and emotion detection

Ideal for: Contact centers, security applications, media companies, and healthcare providers.

Turn cutting-edge research into scalable, production-ready systems. I specialize in bridging the gap between academic papers and real-world implementation.

What I deliver:

• Research Translation — Converting academic papers into working prototypes
• Rapid Proof-of-Concept — Validate technical feasibility and business value quickly
• Novel Architecture Design — Custom neural network architectures for specific use cases
• ML Pipeline Development — End-to-end pipelines for scoring, recommendation, and data management
• Cross-functional Integration — Embedding models into production systems with accuracy and scalability
• Technical Due Diligence — Evaluating AI claims and feasibility for investors

Ideal for: Startups, R&D teams, and investors evaluating AI technology.

AI-powered solutions for business intelligence, lead scoring, and data enrichment—proven in FinTech and enterprise contexts.

What I deliver:

• Entity Recognition & Extraction — Automated identification of companies, people, and relationships
• Lead Scoring Systems — ML models that prioritize high-value prospects
• Automated Data Enrichment — Intelligent augmentation of business records
• KYC/Compliance Automation — AI-assisted verification and risk assessment
• Recommendation Systems — Personalized suggestions for products, content, or connections

Ideal for: FinTech companies, B2B platforms, data providers, and enterprise sales teams.

Strategic guidance for AI initiatives, from roadmap planning to hands-on implementation leadership.

What I deliver:

• AI Roadmap Development — Planning and prioritizing AI projects for maximum ROI
• End-to-End Project Leadership — Conception, design, and implementation of ML-based product improvements
• Technology Evaluation — Assessing tools, frameworks, and vendor solutions
• Team Collaboration — Leading cross-functional teams to embed AI into production systems
• Feature Roadmap Shaping — Data-driven prioritization to accelerate time-to-market
• Technical Advisory — Ongoing guidance for AI product decisions

Ideal for: Companies starting their AI journey or scaling existing capabilities.