Professional Summary
Experienced Software Engineer with expertise in Backend Development and a strong focus on AI/ML integration. I build scalable, data-driven systems that support enterprise applications and drive business outcomes. Proven track record in integrating GenAI and LLMs into production systems, developing AI-powered document processing, and leveraging cloud infrastructures like Azure and AWS.
Work Experience
Engineer, Data Platforms
CPP Investments
- Developing Data Mesh architecture to build and manage scalable data products leveraging Python and AWS ecosystem.
- Implemented EMR Serverless API to programmatically retrieve Spark job dashboard URLs, integrating multiple AWS backend services for automation and observability.
- Designed and automated Airflow SLA monitoring and step failure alerting system, integrating PagerDuty for incident creation, SMTP for email notifications, and AWS services for workflow orchestration and reliability.
Senior Software Engineer
Blue Yonder
- Integrated Snowflake into machine learning pipelines and developed APIs to perform CRUD operations and load data directly from Azure Blob Storage into Snowflake tables.
- Built an AI document processing solution using the LLaMA3 model with RAG to generate context-aware responses from unstructured data.
- Developed GitHub Actions workflow and custom TFX components to enhance machine learning training and forecasting pipelines, enabling extended functionality and specialized operations.
- Built multiple real-time inference APIs for large-payload ML models using FastAPI and KServe, achieving response times of 100–200 ms.
Senior Software Engineer
LTIMindtree
- Developed Python-based AI document processing platform using a microservice architecture, building core APIs that significantly enhanced functionality and performance.
- Contributed to developing and deploying a BERT-NER model, achieving a 15% accuracy improvement over the previous LSTM-based solution.
- Integrated Azure OpenAI APIs into the product to enable sentiment analysis, text summarization, and entity extraction.
- Designed and implemented Asynchronous APIs to optimize execution time and seamlessly integrate complex functionalities like model training and inference.
- Worked on micro-service architecture and deployed services on AWS using Docker, Kubernetes, and CI/CD pipelines.
Personal Projects
- Developed Hashcertify, a time-saving tool enabling users to generate multiple certificates from a single CSV file, streamlining the creation process and saving valuable time and resources.
- Improved the efficiency of certificate management by automating the process of sending certificates via email. Hashcertify automatically sends certificates to users via Gmail, which eliminates the need for users to manually send certificates themselves.
- Implemented robust verification in Hashcertify using block hash technology, ensuring certificate integrity and authenticity while enhancing trust and credibility.