I am a Software Developer specializing in Generative AI, Agentic Workflows, and Machine Learning. I bridge the gap between complex transformer architectures and user-centric software solutions. My focus is on building scalable RAG systems, leveraging Autonomous Agents, and utilizing cloud infrastructure to drive operational efficiency.
Concepts: RAG/Connectors • Autonomous Agents • MCP • Fine-tuning • Semantic Search • Attention Mechanisms • Transformer Architecture • Prompt Engineering
Tools: LangGraph • LangSmith • Ragas • Google ADK • Claude ADK • OpenAI AgentKit • n8n • Zapier • vLLM • MLX
AWS Services: SageMaker • Bedrock • Lambda • Glue • Kinesis • API Gateway • IAM • ECS/EKS • CloudFormation
- RAG Implementation: Architected semantic search pipelines using LangChain and Pinecone, reducing information retrieval time by 40%.
- Model Optimization: Fine-tuned LLMs using PEFT/LoRA techniques on AWS Bedrock for domain-specific NLP tasks.
- Agentic Workflows: Developed autonomous agents using LangGraph to automate complex multi-step backend processes.
- Pipeline Optimization: Rectified data discrepancies through advanced statistical analysis, boosting overall data accuracy by 20%.
- Cloud Architecture: Designed scalable microservices on AWS (Lambda, API Gateway) and automated deployments via Terraform and GitHub Actions.
- Analytics at Scale: Created 20+ analytical dashboards on Azure SQL and Power BI, fostering a 40% increase in decision-making efficiency.