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I am a results-driven software engineer with 4+ years of experience designing and delivering scalable, cloud-native applications across full-stack and distributed systems. I specialize in JavaScript (ES6+), TypeScript, Python, Java, and SQL, building high-performance systems that support 200K+ users and have achieved up to a 35% reduction in API latency. I have designed responsive front-end applications with React.js and Angular and built back-end microservices with optimized database strategies across PostgreSQL, MongoDB, SQL Server, and Oracle. I am proficient with AWS, Azure, and GCP deployments, using Docker, Kubernetes, Terraform, and CI/CD to sustain 99.95%+ uptime. I have hands-on experience with Kafka, SQS, real-time analytics pipelines, ETL frameworks, and GenAI-powered applications using TensorFlow, Scikit-learn, OpenAI APIs, and LangChain. I thrive in fast-paced enterprise settings, follow Secure SDLC and Agile practices, and enjoy turning complex problems into reliable, maintainable software.…I am a results-driven software engineer with 4+ years of experience designing and delivering scalable, cloud-native applications across full-stack and distributed systems. I specialize in JavaScript (ES6+), TypeScript, Python, Java, and SQL, building high-performance systems that support 200K+ users and have achieved up to a 35% reduction in API latency. I have designed responsive front-end applications with React.js and Angular and built back-end microservices with optimized database strategies across PostgreSQL, MongoDB, SQL Server, and Oracle. I am proficient with AWS, Azure, and GCP deployments, using Docker, Kubernetes, Terraform, and CI/CD to sustain 99.95%+ uptime. I have hands-on experience with Kafka, SQS, real-time analytics pipelines, ETL frameworks, and GenAI-powered applications using TensorFlow, Scikit-learn, OpenAI APIs, and LangChain. I thrive in fast-paced enterprise settings, follow Secure SDLC and Agile practices, and enjoy turning complex problems into reliable, maintainable software.

Venkata Sai Manoj Kumar

Full Stack Developer, Web Developer, Developer, +6

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I am a results-driven software engineer with 4+ years of experience designing and delivering scalable, cloud-native applications across full-stack and distributed systems. I specialize in JavaScript (ES6+), TypeScript, Python, Java, and SQL, building high-performance systems that support 200K+ users and have achieved up to a 35% reduction in API latency. I have designed responsive front-end applications with React.js and Angular and built back-end microservices with optimized database strategies across PostgreSQL, MongoDB, SQL Server, and Oracle. I am proficient with AWS, Azure, and GCP deployments, using Docker, Kubernetes, Terraform, and CI/CD to sustain 99.95%+ uptime. I have hands-on experience with Kafka, SQS, real-time analytics pipelines, ETL frameworks, and GenAI-powered applications using TensorFlow, Scikit-learn, OpenAI APIs, and LangChain. I thrive in fast-paced enterprise settings, follow Secure SDLC and Agile practices, and enjoy turning complex problems into reliable, maintainable software.…I am a results-driven software engineer with 4+ years of experience designing and delivering scalable, cloud-native applications across full-stack and distributed systems. I specialize in JavaScript (ES6+), TypeScript, Python, Java, and SQL, building high-performance systems that support 200K+ users and have achieved up to a 35% reduction in API latency. I have designed responsive front-end applications with React.js and Angular and built back-end microservices with optimized database strategies across PostgreSQL, MongoDB, SQL Server, and Oracle. I am proficient with AWS, Azure, and GCP deployments, using Docker, Kubernetes, Terraform, and CI/CD to sustain 99.95%+ uptime. I have hands-on experience with Kafka, SQS, real-time analytics pipelines, ETL frameworks, and GenAI-powered applications using TensorFlow, Scikit-learn, OpenAI APIs, and LangChain. I thrive in fast-paced enterprise settings, follow Secure SDLC and Agile practices, and enjoy turning complex problems into reliable, maintainable software.

Available to hire

I am a results-driven software engineer with 4+ years of experience designing and delivering scalable, cloud-native applications across full-stack and distributed systems. I specialize in JavaScript (ES6+), TypeScript, Python, Java, and SQL, building high-performance systems that support 200K+ users and have achieved up to a 35% reduction in API latency. I have designed responsive front-end applications with React.js and Angular and built back-end microservices with optimized database strategies across PostgreSQL, MongoDB, SQL Server, and Oracle.

I am proficient with AWS, Azure, and GCP deployments, using Docker, Kubernetes, Terraform, and CI/CD to sustain 99.95%+ uptime. I have hands-on experience with Kafka, SQS, real-time analytics pipelines, ETL frameworks, and GenAI-powered applications using TensorFlow, Scikit-learn, OpenAI APIs, and LangChain. I thrive in fast-paced enterprise settings, follow Secure SDLC and Agile practices, and enjoy turning complex problems into reliable, maintainable software.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Aragonese

Advanced

Javanese

Advanced

Afar

Intermediate

Work Experience

Software Engineer (Intern) at Care Healthcare

January 1, 2025 - May 1, 2025

Engineered secure, high-performance backend services using Java and Spring Boot, integrating Oracle and Redis to enable low-latency, resilient data access. Designed, implemented, and unit-tested RESTful APIs using JUnit and Swagger/OpenAPI. Built scalable backend systems using Django and Flask, with encrypted communication and failover mechanisms. Partnered with data governance teams to implement RBAC, audit trails, and HIPAA/SOC 2 controls via PL/SQL procedures. Implemented centralized logging and observability with CloudWatch, and automated testing frameworks with Selenium and PyTest. Developed real-time, event-driven notification systems using WebSockets and REST APIs. Built automated CI/CD pipelines using Azure DevOps and containerized applications with Kubernetes, enabling zero-downtime deployments. Developed internal AI-powered analytics tools using Hugging Face Transformers and fine-tuned LLMs to summarize large-scale customer feedback datasets.

Software Engineer at Care Healthcare

June 1, 2025 - Present

Architected and maintained cloud-native Spring Boot microservices exposing RESTful APIs, integrating PostgreSQL and MongoDB to deliver highly available, scalable backend services supporting high-traffic workloads. Improved API performance and throughput by fine-tuning JVM configurations, optimizing complex SQL queries, and implementing efficient connection pooling strategies. Developed modern, responsive front-end applications using React.js, TypeScript, and Tailwind CSS, enhancing UX and reducing internal task completion times. Engineered scalable Node.js and Express.js services powering client-facing dashboards, optimizing database interactions and reducing report generation time from 14 seconds to under 5 seconds. Partnered with data science teams to productionize machine learning models using Scikit-learn and TensorFlow, integrating predictive APIs that improved lead targeting efficiency. Designed high-performance data models with partitioned tables, materialized views, and query o

Full Stack Developer at Wipro India

January 1, 2020 - July 1, 2023

Developed modular, enterprise-grade Angular SPAs with reusable UI components and dynamic data binding across multiple applications. Architected scalable backend services using Spring Boot and FastAPI to support real-time logging and high-volume OLTP workloads across MySQL and MongoDB. Designed and deployed interactive real-time analytics dashboards using Dash and Plotly, enabling data-driven decision making. Built event-driven streaming pipelines with Apache Kafka and JMS-based messaging for reliable delivery in a high-throughput order management system. Strengthened engineering quality with comprehensive unit and integration testing (TestNG, Mockito) and automated quality gates in Jenkins pipelines. Administered Snowflake and IBM DB2 data platforms with RBAC, audit logging, and HIPAA/SOC 2 compliance. Engineered high-performance ETL utilities in Go and PL/SQL to increase pipeline throughput for large datasets. Contributed to GenAI R&D for internal document summarization using retrieva

Software Engineer at ΣCare Healthcare

June 1, 2025 - Present

Architected and maintained cloud-native Spring Boot microservices exposing RESTful APIs, integrating PostgreSQL and MongoDB to deliver highly available, scalable backend services. Improved API performance through JVM tuning, optimized queries, and connection pooling. Developed modern, responsive front-end applications using React.js and TypeScript, and engineered Node.js services powering client dashboards. Partnered with data science teams to productionize ML models using Scikit-learn and TensorFlow, integrating predictive APIs to improve lead targeting. Designed high-performance data models in Oracle and PostgreSQL, implemented PL/SQL error handling and centralized logging, and led DevOps initiatives with Jenkins-based automated deployments and AWS CloudWatch monitoring. Architected event-driven systems with Apache Kafka and AWS SQS for reliable asynchronous processing, and built GenAI-powered chatbot solutions using OpenAI APIs and LangChain.

Software Engineer (Intern) at ΣCare Healthcare

January 1, 2025 - May 1, 2025

Engineered secure, high-performance backend services using Java and Spring Boot, designed RESTful APIs, and implemented RBAC, audit trails, and compliance controls. Built scalable Django/Flask components supporting enterprise platforms, and contributed to secure AWS infrastructure (EC2, RDS, Lambda) with centralized logging. Implemented end-to-end automated testing and real-time event systems (WebSockets) to enable asynchronous communications across portals. Built internal AI tools leveraging Hugging Face transformers and fine-tuned LLMs for analytics and summarization.