Experience

Feb 2023 – Present

• ›Developed and deployed production GenAI solutions using LangChain, RAG pipelines, and LLMs to automate internal workflows
• ›Built and maintained distributed data pipelines processing millions of records daily using Apache Spark, Kafka, and AWS services (EMR, S3, Lambda)
• ›Collaborated with ML teams to integrate PyTorch models into production systems with monitoring and observability via Splunk
• ›Led development of ETL/ELT processes on Snowflake and AWS, reducing data latency significantly
• ›Mentored junior engineers and contributed to architecture decisions on the team

Jun 2022 – Aug 2022

• ›Developed microservices and RESTful APIs using Java and Python in an Agile environment
• ›Contributed to internal tooling and automation scripts that improved team productivity
• ›Gained hands-on experience with AWS cloud infrastructure and CI/CD pipelines with Jenkins