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Hi, I’m Shounak Prashant Kulkarni, a Senior Software Development Engineer focused on building scalable machine learning systems, RAG-enabled applications, and production-grade platforms. Over 5+ years, I’ve designed end-to-end ML pipelines, deployed containerized microservices with Docker and Kubernetes, and optimized high-throughput data processing across AWS, Azure, and GCP for healthcare and financial workflows. I love turning complex data into reliable real-time solutions. My strengths include ML model development, model serving, experiment tracking with MLflow, and integrating LLM APIs like OpenAI and Claude into practical apps. I thrive in collaborative teams delivering robust ML features from data preprocessing to cloud deployment, with a strong emphasis on reliability, scalability, and ethical AI practices.…Hi, I’m Shounak Prashant Kulkarni, a Senior Software Development Engineer focused on building scalable machine learning systems, RAG-enabled applications, and production-grade platforms. Over 5+ years, I’ve designed end-to-end ML pipelines, deployed containerized microservices with Docker and Kubernetes, and optimized high-throughput data processing across AWS, Azure, and GCP for healthcare and financial workflows. I love turning complex data into reliable real-time solutions. My strengths include ML model development, model serving, experiment tracking with MLflow, and integrating LLM APIs like OpenAI and Claude into practical apps. I thrive in collaborative teams delivering robust ML features from data preprocessing to cloud deployment, with a strong emphasis on reliability, scalability, and ethical AI practices.

Shounak Prashant Kulkarni

Full Stack Developer, Data Scientist, Web Developer, +2

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Hi, I’m Shounak Prashant Kulkarni, a Senior Software Development Engineer focused on building scalable machine learning systems, RAG-enabled applications, and production-grade platforms. Over 5+ years, I’ve designed end-to-end ML pipelines, deployed containerized microservices with Docker and Kubernetes, and optimized high-throughput data processing across AWS, Azure, and GCP for healthcare and financial workflows. I love turning complex data into reliable real-time solutions. My strengths include ML model development, model serving, experiment tracking with MLflow, and integrating LLM APIs like OpenAI and Claude into practical apps. I thrive in collaborative teams delivering robust ML features from data preprocessing to cloud deployment, with a strong emphasis on reliability, scalability, and ethical AI practices.…Hi, I’m Shounak Prashant Kulkarni, a Senior Software Development Engineer focused on building scalable machine learning systems, RAG-enabled applications, and production-grade platforms. Over 5+ years, I’ve designed end-to-end ML pipelines, deployed containerized microservices with Docker and Kubernetes, and optimized high-throughput data processing across AWS, Azure, and GCP for healthcare and financial workflows. I love turning complex data into reliable real-time solutions. My strengths include ML model development, model serving, experiment tracking with MLflow, and integrating LLM APIs like OpenAI and Claude into practical apps. I thrive in collaborative teams delivering robust ML features from data preprocessing to cloud deployment, with a strong emphasis on reliability, scalability, and ethical AI practices.

Available to hire

Hi, I’m Shounak Prashant Kulkarni, a Senior Software Development Engineer focused on building scalable machine learning systems, RAG-enabled applications, and production-grade platforms. Over 5+ years, I’ve designed end-to-end ML pipelines, deployed containerized microservices with Docker and Kubernetes, and optimized high-throughput data processing across AWS, Azure, and GCP for healthcare and financial workflows.

I love turning complex data into reliable real-time solutions. My strengths include ML model development, model serving, experiment tracking with MLflow, and integrating LLM APIs like OpenAI and Claude into practical apps. I thrive in collaborative teams delivering robust ML features from data preprocessing to cloud deployment, with a strong emphasis on reliability, scalability, and ethical AI practices.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Software Development Engineer – Machine Learning at Elevance Health

May 1, 2024 - Present

Built RAG-powered LLM applications leveraging embeddings, ChromaDB, and Pinecone for healthcare knowledge retrieval, supporting 15K+ monthly queries and improving answer relevance by 28 percent while reducing latency by 35 percent. Architected FastAPI-based model serving endpoints integrated with AWS SageMaker and Bedrock, handling 12K+ daily inference requests with sub-250ms latency and high availability. Led full lifecycle ML system development including preprocessing, feature engineering, model training, validation, and cloud deployment across AWS and Azure for healthcare and financial workflows. Deployed Scikit-learn and PyTorch-based anomaly detection models on high-volume financial data, reaching 91 percent accuracy and eliminating 150+ hours/month of manual validation. Developed Python-based REST and GraphQL APIs alongside FastAPI services, improving data retrieval throughput by 27 percent under concurrent load across multi-tier distributed systems. Fine-tuned transformer models

Senior Software Engineer at Cognizant

May 1, 2021 - July 1, 2023

Spearheaded development of large-scale time-series forecasting and risk classification systems processing 1.5M+ records daily; improved prediction accuracy by 24 percent and reduced manual analysis effort by 30 percent. Engineered scalable ML data infrastructure integrating Spark, Hive, and Databricks, enabling parallel processing of TB-scale datasets and reducing pipeline latency by 18 percent. Designed production-grade Python and Java services supporting model training and real-time inference, handling high-throughput workloads with sub-200ms latency. Improved system reliability via structured logging, performance tuning, and Kubernetes orchestration, increasing uptime and reducing production downtime by 22 percent. Led cross-functional engineering initiatives, enforced clean architecture standards, and accelerated feature delivery timelines through rigorous code reviews and SDLC practices.

Software Engineer at Cognizant

May 1, 2020 - April 1, 2021

Developed Python and Django backend services with Redis caching, reducing query latency by 18 percent for data-intensive analytics and reporting workflows. Engineered automated ETL and data validation pipelines for compliance systems, supporting large-scale validation across 15,000+ test cases. Built event-driven streaming pipelines using Python and Node.js to deliver real-time financial data to downstream analytics platforms. Implemented CI/CD pipelines on Azure achieving 99.95 percent uptime and enabling reliable continuous deployment of production backend services.