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Hi, I’m Sankar Sanjay Varma Thotakura, a Software Engineer with 3+ years of experience designing, developing, and deploying ML-driven and cloud-native applications across insurance, industrial, and financial domains. I specialize in Python-based backend development, machine learning, and big data pipelines, with hands-on experience in PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face Transformers. I design real-time data pipelines, RESTful APIs, and scalable microservices using FastAPI, Flask, SQLAlchemy, and Docker, deployed on AWS and Azure with CI/CD automation via Jenkins, GitHub Actions, and Azure DevOps. My work has reduced fraud by 15%, improved policy risk scoring by 40%, and boosted system performance by up to 60%, while ensuring scalable and secure architectures.…Hi, I’m Sankar Sanjay Varma Thotakura, a Software Engineer with 3+ years of experience designing, developing, and deploying ML-driven and cloud-native applications across insurance, industrial, and financial domains. I specialize in Python-based backend development, machine learning, and big data pipelines, with hands-on experience in PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face Transformers. I design real-time data pipelines, RESTful APIs, and scalable microservices using FastAPI, Flask, SQLAlchemy, and Docker, deployed on AWS and Azure with CI/CD automation via Jenkins, GitHub Actions, and Azure DevOps. My work has reduced fraud by 15%, improved policy risk scoring by 40%, and boosted system performance by up to 60%, while ensuring scalable and secure architectures.

Sankar Sanjay Varma Thotakura

Full Stack Developer, Web Developer, Developer, +5

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Hi, I’m Sankar Sanjay Varma Thotakura, a Software Engineer with 3+ years of experience designing, developing, and deploying ML-driven and cloud-native applications across insurance, industrial, and financial domains. I specialize in Python-based backend development, machine learning, and big data pipelines, with hands-on experience in PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face Transformers. I design real-time data pipelines, RESTful APIs, and scalable microservices using FastAPI, Flask, SQLAlchemy, and Docker, deployed on AWS and Azure with CI/CD automation via Jenkins, GitHub Actions, and Azure DevOps. My work has reduced fraud by 15%, improved policy risk scoring by 40%, and boosted system performance by up to 60%, while ensuring scalable and secure architectures.…Hi, I’m Sankar Sanjay Varma Thotakura, a Software Engineer with 3+ years of experience designing, developing, and deploying ML-driven and cloud-native applications across insurance, industrial, and financial domains. I specialize in Python-based backend development, machine learning, and big data pipelines, with hands-on experience in PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face Transformers. I design real-time data pipelines, RESTful APIs, and scalable microservices using FastAPI, Flask, SQLAlchemy, and Docker, deployed on AWS and Azure with CI/CD automation via Jenkins, GitHub Actions, and Azure DevOps. My work has reduced fraud by 15%, improved policy risk scoring by 40%, and boosted system performance by up to 60%, while ensuring scalable and secure architectures.

Available to hire

Hi, I’m Sankar Sanjay Varma Thotakura, a Software Engineer with 3+ years of experience designing, developing, and deploying ML-driven and cloud-native applications across insurance, industrial, and financial domains. I specialize in Python-based backend development, machine learning, and big data pipelines, with hands-on experience in PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face Transformers.

I design real-time data pipelines, RESTful APIs, and scalable microservices using FastAPI, Flask, SQLAlchemy, and Docker, deployed on AWS and Azure with CI/CD automation via Jenkins, GitHub Actions, and Azure DevOps. My work has reduced fraud by 15%, improved policy risk scoring by 40%, and boosted system performance by up to 60%, while ensuring scalable and secure architectures.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Software Developer at Berkshire Hathaway, USA

April 1, 2025 - Present

Architected distributed microservices using modern Java and Spring Boot to improve scalability and reduce claim processing latency by 45% in insurance policy lifecycle management. Developed secure backend APIs with Spring Security, OAuth 2.0, and JWT servicing over 80,000 active users. Implemented event-driven workflows using Kafka Streams and Redis to provide real-time billing and payment updates, reducing reconciliation errors by 30%. Designed data transformation pipelines with Apache Camel, enhancing third-party integrations and reducing SLA breaches by 50%. Optimized database schemas in PostgreSQL for premium calculation engines, achieving a 40% response time reduction. Deployed containerized microservices on AWS ECS with Terraform/Docker ensuring disaster recovery with zero data loss. Championed experimentation culture through defining success metrics and enabling A/B testing. Collaborated effectively with cross-functional teams to align feature delivery with customer needs, boost

Software Developer at OXmaint Inc, Sunnyvale, CA

March 31, 2025 - August 28, 2025

Designed modular backend services with ASP.NET Core and Entity Framework to automate maintenance workflows, cutting downtime by 40%. Delivered technician-facing web dashboards using React, JS, and TypeScript enabling 95% accurate predictive maintenance alerts across HVAC systems. Configured secure REST and GraphQL APIs with Swagger, JWT, and OAuth 2.0, ensuring near perfect authentication success rates. Improved reporting pipeline performance in MS SQL Server by 60% via query optimizations. Managed fault-tolerant deployments using Azure DevOps, Kubernetes, and Docker, reducing release rollbacks by 70%. Led cross-functional efforts with QA and DevOps to implement automated tests, increasing coverage and reducing production defects by 35%. Partnered with design and product teams for iterative UX improvements delivering polished, user-friendly dashboards aligned with workflows.

Software Developer at Hexaware Technologies, India

August 31, 2023 - August 28, 2025

Developed RESTful microservices with Java 11, Spring Boot, and Hibernate for financial transactions, improving enterprise banking application response times by 35%. Automated ETL workflows with Python using Pandas and NumPy, reducing manual data preparation by 70%. Integrated Apache Kafka pipelines for real-time transaction streaming enabling sub-second latency fraud detection alerts. Optimized SQL and NoSQL queries in PostgreSQL and MongoDB by 45% for credit risk scoring modules. Secured APIs with OAuth 2.0, JWT, and Spring Security, protecting over 100,000 user sessions in regulatory reporting platforms. Deployed on AWS EC2 and Azure App Services with Docker and Jenkins, improving deployment consistency and reducing rollbacks by 60%. Collaborated in Agile sprints with data analysts and QA teams, integrating API testing frameworks to decrease post-deployment defects by 30%.

Software Engineer - ML at Berkshire Hathaway, USA

April 1, 2025 - November 6, 2025

Designed and deployed a real-time insurance fraud detection system using PyTorch, XGBoost, and LightGBM, processing 2 TB+ daily claims data and reducing fraudulent payouts by 15% in Q1. Built scalable ETL pipelines with Spark, Pandas, and SQL, enabling automated feature engineering and cutting preprocessing time by 40%. Developed NLP models with Hugging Face Transformers to derive insights from claim notes and customer communications, improving fraud detection precision to 92%. Implemented Docker-based microservices with FastAPI on AWS ECS with CI/CD via Jenkins and GitHub Actions, achieving under 200 ms latency for real-time risk scoring. Orchestrated ML workflows with Kubernetes and MLflow, ensuring 99.9% uptime and streamlined retraining. Enhanced policy risk scoring to help underwriters prioritize high-risk accounts, reducing policy lapses by 40%. Partnered with actuaries and data teams to deliver dashboards (Power BI + AWS Lambda) that cut decision turnaround time by 35%.

Software Developer at OXmaint Inc

March 31, 2025 - March 31, 2025

Developed modular Python back-end services (FastAPI, Flask) with SQLAlchemy to automate maintenance workflows, reducing unplanned downtime by 40%. Built real-time data ingestion and transformation pipelines using Pandas, NumPy, and scikit-learn, achieving up to 92% fault-detection accuracy for HVAC and IoT sensor data. Secured RESTful APIs with Swagger, OAuth 2.0, and JWT, enabling seamless integration with mobile field-service platforms. Optimized PostgreSQL queries, boosting analytics dashboard response times by 60%. Implemented Docker-based deployments and Azure DevOps Pipelines, reducing rollbacks by 70%. Integrated ML-driven predictive reports into dashboards, helping clients realize a 25% reduction in maintenance costs. Collaborated with data science and QA to implement PyTest and Postman tests, increasing coverage and reducing defects by 30%.

Software Developer at Hexaware Technologies

August 31, 2023 - August 31, 2023

Developed RESTful microservices using Python (Flask, FastAPI) to process financial transactions and reporting workflows, improving system response time by 35%. Automated ETL pipelines with Pandas, NumPy, and SQLAlchemy to cleanse, validate, and transform multi-source financial data, reducing manual data preparation time by 70%. Integrated real-time event streaming using Apache Kafka and Redis, enabling fraud detection and alerting with sub-second latency across high-volume transaction systems. Optimized SQL and NoSQL queries in PostgreSQL and MongoDB, enhancing query performance by 45% for credit risk and reconciliation modules. Implemented API authentication and access control using OAuth 2.0, JWT, and Flask-Security, ensuring regulatory compliance for 100K+ secure sessions. Containerized and deployed applications on AWS EC2 and Azure App Services using Docker and Jenkins, improving release consistency and reducing rollback incidents by 60%. Collaborated with product, data, and QA tea