Portfolio

AI Engineering & Research Portfolio

Showcasing our contributions to the AI and machine learning ecosystem through research, engineering projects, and open-source initiatives.

Research & Publications

AI Agent Evaluation Frameworks

Comprehensive analysis of benchmarking methodologies for autonomous AI systems, focusing on production deployment metrics and reliability assessments.

AI Agents Evaluation Benchmarks

Vector Database Performance Analysis

In-depth engineering study of vector database performance characteristics, covering latency, recall trade-offs, and cost optimization strategies.

Vector DBs Performance RAG

Engineering Projects

AgentOps Framework

Production-ready observability and reliability framework for AI agent deployments, including monitoring, retry logic, and cost optimization tools.

DevOps Monitoring Production

Multi-Step Reasoning Evaluator

Open-source toolkit for evaluating LLM reasoning capabilities across various domains, with support for chain-of-thought and tree-of-thought methodologies.

LLMs Reasoning Open Source

Consulting & Advisory

We provide strategic guidance and technical expertise to organizations building AI systems at scale.

  • • AI strategy development and technical roadmap planning
  • • Production deployment architecture and best practices
  • • Performance optimization and cost management
  • • Team training and capability development