6+ Years of Building

Building AI-powered products at the intersection of agentic systems and enterprise software. Leading development of a VC-Founder Matchmaking SaaS platform and a multi-agent research pipeline that automates 80% of VC operations.

• Built a multi-agent research pipeline using LangChain and LangGraph automating 80% of VC dealflow operations
• Engineered scalable backend infrastructure with Django, Weaviate vector DB, PostgreSQL, Docker, and AWS
• Designed agentic architectures for autonomous data ingestion, summarization, and matching workflows

Led the engineering team building production-grade AI and data products. Architected Pyaw, an agentic customer service SaaS, and iQ Suite, a fully managed RAG-as-a-Service platform adopted by enterprise clients.

• Built Pyaw — an agentic customer service platform using LangChain, OpenAI, and custom LLM implementations
• Architected iQ Suite, a RAG-as-a-Service product with document ingestion pipelines and semantic retrieval
• Fine-tuned Text2SQL models using QLoRA on domain-specific datasets for enterprise SQL generation
• Created distributed cloud infrastructure using AWS, Azure, Kubernetes clusters, and Apache Kafka

Joined as a full-stack developer building REST APIs and managing production deployments. Established Kubernetes-based staging environments and contributed to the core backend architecture.

• Developed RESTful APIs using Django Rest Framework powering client-facing applications
• Implemented Kubernetes clusters for robust, scalable staging and production environments
• Collaborated closely with product and design to ship features with high velocity

Led end-to-end development of BizDesk, a B2B healthcare management platform processing 100,000+ daily transactions. Leveraged AWS Textract for large-scale OCR and built automated insurance workflows.

• Built BizDesk using Django, Vue.js, PostgreSQL, and AWS — processing 100,000+ daily healthcare transactions
• Integrated AWS Textract for high-accuracy OCR on insurance claim documents at scale
• Automated insurance claim processing with email parsing and WhatsApp API integration

Worked as an independent contractor helping clients modernize their stacks — migrating legacy Java/C# applications to Django and React, and deploying scalable AWS infrastructure.

• Migrated legacy Java and C# projects to modern Django/React stacks for multiple international clients
• Designed and deployed AWS infrastructure including S3, EC2, and automated CI/CD pipelines
• Conducted architecture reviews and provided technical recommendations for client projects

Built large-scale ETL pipelines migrating 100TB+ daily from legacy Teradata mainframe systems to Google BigQuery. Worked with PySpark and Apache Airflow in a mission-critical production environment.

• Wrote high-volume ETL scripts in PySpark and SQL processing 100TB+ of daily data migrations
• Automated data workflows using Apache Airflow and Control-M with comprehensive monitoring
• Led production support initiatives with proactive log analysis and incident resolution