Senior Software Engineer / Senior Data Scientist at Net Health

Converted batch-based healthcare data workflows into streaming pipelines using Python and Kafka, reducing data latency from 4–6 hours to under 5 minutes across 25,000+ facilities. Built ML-driven analytics and prediction systems supporting clinical decision-making and large-scale data insights. Integrated AI-powered workflows using RAG pipelines, embeddings, and LLM inference APIs for semantic search and automated documentation. Developed ETL pipelines with Airflow and Spark to process millions of patient records daily with consistent data quality. Built real-time model-serving FastAPI endpoints delivering low-latency inference under production load and implemented feature engineering pipelines and validation layers to improve model reliability and performance. Deployed observability with Prometheus and Grafana for data pipelines and ML services, reducing incident resolution time. Ensured HIPAA-compliant data handling and secure ML workflows.

Senior Software Engineer at Net Health

Converted batch-based healthcare workflows into streaming pipelines using Python and Kafka, reducing data latency from 4–6 hours to under 5 minutes across 25,000+ facilities. Built ML-driven analytics and prediction systems supporting clinical decision-making and large-scale data insights. Integrated AI-powered RAG workflows using embeddings and model inference APIs to enable semantic search and automated documentation. Developed ETL pipelines using Airflow and Spark processing millions of patient records daily with consistent data quality. Built real-time FastAPI-based model serving endpoints delivering low-latency inference under production load. Implemented feature engineering pipelines and validation layers to improve model reliability and performance. Deployed observability tooling (Prometheus, Grafana) for data pipelines and ML services, reducing incident resolution time. Ensured HIPAA-compliant data handling and secure ML workflows.

Full Stack Engineer at SiganPay

Built real-time transaction data pipelines using Python and Kafka, reducing processing latency from 2–3 seconds to under 800ms. Developed fraud detection models and scoring systems for transaction validation and risk analysis. Designed analytics dashboards and reporting systems (React + APIs) enabling real-time financial insights. Built backend APIs for high-throughput data access and reporting workloads. Implemented streaming ingestion systems for financial transactions and analytics pipelines. Optimized database queries and indexing strategies, reducing data retrieval time by 40–60%. Developed ETL pipelines for aggregation and reporting across large transaction datasets.

Full Stack Engineer at SignaPay

Built real-time transaction data pipelines using Python and Kafka, reducing processing latency from 2–3 seconds to under 800ms. Developed fraud detection models and scoring systems for transaction validation and risk analysis. Designed analytics dashboards and reporting systems (React + APIs) enabling real-time financial insights. Built backend APIs for high-throughput data access and reporting workloads. Implemented streaming ingestion systems for financial transactions and analytics pipelines. Optimized database queries and indexing strategies, reducing data retrieval time by 40–60%. Developed ETL pipelines for aggregation and reporting across large transaction datasets.

Software Developer at Wipro

Built backend services and data pipelines supporting enterprise analytics systems. Developed APIs and data processing workflows for reporting and business intelligence. Reduced system response times from 1.5–2 seconds to under 800ms through performance tuning. Delivered data solutions across healthcare, fintech, and telecom domains. Supported frontend dashboards and data visualization features. Maintained data consistency, validation, and overall system reliability.