Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm Subhakar Koduru, an AI & software engineer with 4 years of experience designing and deploying large-scale AI-first and data-driven solutions. I specialize in building LLM-powered systems, event-driven microservices, and cloud-native architectures on AWS and Azure.\n\nI have a proven track record automating compliance workflows, developing ML-driven data quality frameworks, and implementing high-performance data pipelines for real-time analytics. I excel at cross-functional collaboration, AI governance, and cloud infrastructure optimization, driving measurable business impact through automation, data insights, and intelligent systems.…I'm Subhakar Koduru, an AI & software engineer with 4 years of experience designing and deploying large-scale AI-first and data-driven solutions. I specialize in building LLM-powered systems, event-driven microservices, and cloud-native architectures on AWS and Azure.\n\nI have a proven track record automating compliance workflows, developing ML-driven data quality frameworks, and implementing high-performance data pipelines for real-time analytics. I excel at cross-functional collaboration, AI governance, and cloud infrastructure optimization, driving measurable business impact through automation, data insights, and intelligent systems.

Subhakar Koduru

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





I'm Subhakar Koduru, an AI & software engineer with 4 years of experience designing and deploying large-scale AI-first and data-driven solutions. I specialize in building LLM-powered systems, event-driven microservices, and cloud-native architectures on AWS and Azure.\n\nI have a proven track record automating compliance workflows, developing ML-driven data quality frameworks, and implementing high-performance data pipelines for real-time analytics. I excel at cross-functional collaboration, AI governance, and cloud infrastructure optimization, driving measurable business impact through automation, data insights, and intelligent systems.…I'm Subhakar Koduru, an AI & software engineer with 4 years of experience designing and deploying large-scale AI-first and data-driven solutions. I specialize in building LLM-powered systems, event-driven microservices, and cloud-native architectures on AWS and Azure.\n\nI have a proven track record automating compliance workflows, developing ML-driven data quality frameworks, and implementing high-performance data pipelines for real-time analytics. I excel at cross-functional collaboration, AI governance, and cloud infrastructure optimization, driving measurable business impact through automation, data insights, and intelligent systems.

Available to hire

I’m Subhakar Koduru, an AI & software engineer with 4 years of experience designing and deploying large-scale AI-first and data-driven solutions. I specialize in building LLM-powered systems, event-driven microservices, and cloud-native architectures on AWS and Azure.\n\nI have a proven track record automating compliance workflows, developing ML-driven data quality frameworks, and implementing high-performance data pipelines for real-time analytics. I excel at cross-functional collaboration, AI governance, and cloud infrastructure optimization, driving measurable business impact through automation, data insights, and intelligent systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Python Developer at Freddie Mac

January 1, 2025 - November 18, 2025

Built LLM-powered intelligent assistants to automate compliance document reviews, reducing manual review effort by 50% and improving regulatory accuracy. Engineered event-driven microservices with Kafka and Python to enable near real-time mortgage data processing with 45% faster throughput. Automated cloud-native deployments on AWS and Azure with Terraform and CI/CD pipelines, reducing release cycles by 35% and ensuring zero-downtime rollouts. Developed data quality monitoring frameworks with ML-driven anomaly detection, reducing reconciliation errors by 28% and improving financial reporting accuracy. Designed and deployed GraphQL APIs to unify data access across multiple domains, streamlining developer productivity and reducing redundant queries by 40%. Partnered with enterprise architects to advance Freddie Mac’s data mesh strategy, standardizing governance and lineage tracking while improving audit efficiency by 30%.

Software Engineer at CYNC Software

January 1, 2025 - January 1, 2025

Designed and deployed AI-first architectures on AWS Bedrock and Lambda, enabling production-grade LLM integration and supporting thousands of concurrent users with minimal latency. Implemented enterprise-grade MLOps pipelines with GitHub, Jenkins, and CodePipeline, cutting deployment time by 50% and achieving 99.9% service availability. Built AI observability and governance frameworks with CloudWatch monitoring, guardrails, and evaluation pipelines, improving reliability by 30% while ensuring safe and compliant LLM outputs. Developed automated ETL pipelines to process over 500M+ records from S3 into PostgreSQL and NoSQL databases, reducing query retrieval time by 50% and enhancing analytics accessibility. Engineered scalable Python microservices and APIs using Docker, Lambda, and EC2. Developed AI-enabled full-stack web applications using ReactJS, NextJS, and Angular. Applied advanced prompt engineering strategies (chain-of-thought, self-consistency, and guardrails) to enhance AI reaso

Software Engineer at Doublene

May 1, 2024 - May 1, 2024

Implemented retrieval-augmented generation (RAG) pipelines with custom chunking, embeddings, and vector databases, improving document retrieval accuracy by 20% and boosting LLM response quality. Built ML monitoring and drift detection frameworks with bias detection and interpretability features, reducing unplanned downtime by 30% and ensuring transparent, responsible AI practices. Automated CI/CD pipelines for ML models using Docker and Azure DevOps, cutting deployment cycles by 40% and standardizing production rollouts. Developed feature stores and reusable data pipelines, accelerating ML experimentation by 25% and improving reproducibility of results. Optimized cloud-native performance with distributed caching, load balancing, and auto-scaling on Azure Kubernetes Service, ensuring reliable performance during peak traffic. Collaborated with cross-functional teams to shape AI governance policies around data privacy, security, and ethical AI, driving compliance and stakeholder trust.

Python Developer (Data focused) at ZSCALER

August 1, 2022 - August 1, 2022

Partnered with Deloitte and Genpact to build Python-driven data workflows, improving reporting efficiency by 25% and significantly increasing client adoption of automated reporting processes. Engineered Python-based ETL pipelines on AWS (S3, Redshift, Lambda), reducing data processing time by 30% and accelerating actionable business insights for enterprise clients. Developed and secured 30+ Python RESTful APIs and SOAP services, ensuring smooth data interoperability and reducing manual reporting efforts by 40% across client platforms. Automated CI/CD workflows using Jenkins, Docker, and Kubernetes, streamlining deployments, minimizing downtime, and accelerating release cycles by 25% for enterprise-scale data solutions. Led migration from monolithic to microservices with Python and Kafka, boosting scalability, enabling real-time event streaming, and improving overall system performance by 30%.