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Hi, I'm Vinay Kumar Kusam, a software engineer based in Jersey City, NJ. I have over 3 years of experience building backend services and cloud-native solutions, with a track record of designing robust APIs in Node.js and TypeScript on Google Cloud, and working with Java Spring Boot and SQL databases. I've led or contributed to AI-infused projects, integration with cloud platforms, and agile delivery. I enjoy collaborating in Agile teams to deliver user-focused platforms, and I’m passionate about advancing AI-driven features, secure data pipelines, and scalable deployments. I’m currently pursuing a Master of Science in Computer Science at Gannon University to deepen my expertise in systems, ML, and cloud-native engineering.…Hi, I'm Vinay Kumar Kusam, a software engineer based in Jersey City, NJ. I have over 3 years of experience building backend services and cloud-native solutions, with a track record of designing robust APIs in Node.js and TypeScript on Google Cloud, and working with Java Spring Boot and SQL databases. I've led or contributed to AI-infused projects, integration with cloud platforms, and agile delivery. I enjoy collaborating in Agile teams to deliver user-focused platforms, and I’m passionate about advancing AI-driven features, secure data pipelines, and scalable deployments. I’m currently pursuing a Master of Science in Computer Science at Gannon University to deepen my expertise in systems, ML, and cloud-native engineering.

Vinay Kumar Kusam

Full Stack Developer, Back-End Developer, Web Developer, +3

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Hi, I'm Vinay Kumar Kusam, a software engineer based in Jersey City, NJ. I have over 3 years of experience building backend services and cloud-native solutions, with a track record of designing robust APIs in Node.js and TypeScript on Google Cloud, and working with Java Spring Boot and SQL databases. I've led or contributed to AI-infused projects, integration with cloud platforms, and agile delivery. I enjoy collaborating in Agile teams to deliver user-focused platforms, and I’m passionate about advancing AI-driven features, secure data pipelines, and scalable deployments. I’m currently pursuing a Master of Science in Computer Science at Gannon University to deepen my expertise in systems, ML, and cloud-native engineering.…Hi, I'm Vinay Kumar Kusam, a software engineer based in Jersey City, NJ. I have over 3 years of experience building backend services and cloud-native solutions, with a track record of designing robust APIs in Node.js and TypeScript on Google Cloud, and working with Java Spring Boot and SQL databases. I've led or contributed to AI-infused projects, integration with cloud platforms, and agile delivery. I enjoy collaborating in Agile teams to deliver user-focused platforms, and I’m passionate about advancing AI-driven features, secure data pipelines, and scalable deployments. I’m currently pursuing a Master of Science in Computer Science at Gannon University to deepen my expertise in systems, ML, and cloud-native engineering.

Available to hire

Hi, I’m Vinay Kumar Kusam, a software engineer based in Jersey City, NJ. I have over 3 years of experience building backend services and cloud-native solutions, with a track record of designing robust APIs in Node.js and TypeScript on Google Cloud, and working with Java Spring Boot and SQL databases. I’ve led or contributed to AI-infused projects, integration with cloud platforms, and agile delivery.

I enjoy collaborating in Agile teams to deliver user-focused platforms, and I’m passionate about advancing AI-driven features, secure data pipelines, and scalable deployments. I’m currently pursuing a Master of Science in Computer Science at Gannon University to deepen my expertise in systems, ML, and cloud-native engineering.

Skills

Experience Level

Expert

Expert

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Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Software Engineer at HTMS INC

January 1, 2025 - Present

Leading AI initiatives including a federated learning proof-of-concept using LLaMA 3 to fine-tune legal AI models across simulated law firms with private data silos, enabling secure drafting of legal opinions and filings on Azure VMs with privacy-preserving model aggregation using Docker. Integrated AI services into full-stack applications using React, Tailwind CSS, Spring Boot, and GCP; set up CI pipelines in GitLab to accelerate UI and model deployment. Built HIPAA-compliant AI pipelines for healthcare psychoanalysis models, ensuring privacy throughout training and deployment while preserving model performance. Applied Chain-of-Thought and Self-Consistency prompting and Retrieval-Augmented Generation to enhance reasoning and factual accuracy. Pretrained and fine-tuned Transformer-based LLMs (Mistral 7B, Llama) with PyTorch and HuggingFace. Integrated LLMs with AWS Bedrock and LangChain to deploy scalable AI applications in production via Docker.

Software Engineer at Verizon

February 1, 2022 - June 1, 2023

Developed responsive and interactive web applications using React.js and Bootstrap, improving user productivity by 30% through intuitive UI/UX and real-time collaboration features. Designed and maintained scalable backend services with Java Spring Boot and TypeScript/Node.js, leveraging Docker and cloud-based solutions to optimize performance. Built and maintained complex SQL queries, stored procedures, and triggers in PostgreSQL to support real-time analytics, reducing data retrieval time by 40%. Implemented backend features including Slack API integration and scheduled cron jobs to send personalized approval reminders via a Slack chatbot, enhancing operational efficiency and communications.

Software Engineer at UJR Corporate Solutions

October 1, 2021 - January 31, 2022

Developed a scalable web-based business management system using Java (Spring Boot), React.js, and MySQL, improving performance and maintainability. Designed and tested RESTful APIs with Postman, integrating Node.js middleware for real-time data processing. Optimized MySQL database performance through indexing, query tuning, and data modeling, reducing query execution time by 30%. Delivered features in an Agile environment, collaborating with cross-functional teams to meet sprint goals.