At the core, I build scalable, cloud-native systems that power data-driven platforms. From designing serverless architectures to fine-tuning backend workflows, I turn complex requirements into elegant, production-ready solutions.
Hey there! I’m Puniith — a self-driven developer with over six years of hands-on experience in full-stack development, data engineering, and cloud infrastructure. I’ve worked across startups and enterprise projects, turning large-scale business requirements into scalable, efficient systems.
I didn’t start in a corner office — I started in a dorm room, building passion projects late into the night. Since then, I’ve written hundreds of thousands of lines of code, automated workflows, wrangled cloud services, and delivered solutions for major clients in finance, retail, and hospitality.
Contrary to what people think, backend devs do care about clean design — just in the architecture, not the font choices.
Established history of success in design and development, consistently delivering valuable insights and driving significant results.
Working with Fannie Mae as part of CGI’s Cloud team, contributing to the Automated Capital Engine (ACE) platform. Responsibilities include managing large-scale mortgage data pipelines, processing daily batch files, and implementing dynamic job flows in response to evolving business needs. This includes handling data sourced from other FHFA-aligned institutions such as Freddie Mac and Ginnie Mae. Key contributions involve building Lambda-based transformation logic and integrating outputs into AWS-backed systems like RDS, Glue, and DynamoDB. Regularly collaborate with business stakeholders to develop and deploy new features while maintaining stable, scalable cloud infrastructure. Tech Stack: Python, Bash, SQL, Jenkins, AWS (Lambda, S3, Glue, Redshift, RDS, DynamoDB, EMR, ECS, SNS, SQS, CodeBuild, AppStream), ECM, Kinetic.
Promoted to Associate Consultant in February 2023 for leading innovative solutions and managing complex projects, I have delivered scalable systems for renowned clients like 7-Eleven, MGM Resorts International, and Speedway through strategic planning and technical ownership.
7-Eleven (Loyalty Engine)
Designed MEAN Stack components, RESTful services, and automated workflows. Mentored offshore teams and managed GIT repositories while resolving issues and optimizing feature-level specifications. Tech Stack: Node.js, Express.js, Angular, MongoDB, GIT, JSON, Jenkins, BDD
MGM Resorts International:
Developed Microservices with MEAN Stack and AWS, migrated CI/CD pipelines to GitLab, configured LDAP for secure access, and monitored systems with Grafana and Kibana. Enhanced production systems with Python scripts and legacy upgrades. Tech Stack: Node.js, Express.js, Angular, AWS (Lambda, Heroku), Visual Studio Code, Git, HTML, JavaScript, Mocha, Jest, Python
Speedway (Data Migration and Product Development):
Led AWS Connect implementation, designed workflows, built Lambda functions, and configured AWS LEX chatbots. Migrated CI/CD pipelines, developed Python applications, and configured CloudWatch dashboards for seamless system monitoring..
Spearheaded the development of innovative, scalable solutions for sales and marketing applications while integrating sustainability-focused practices. Key Achievements: • Designed and developed dynamic web applications using Next.js and Node.js for seamless performance. • Engineered serverless backend solutions with AWS Lambda, data storage on DynamoDB, and deployment on S3. • Automated stock updates with an Excel-to-DynamoDB integration, significantly boosting operational efficiency. • Created a Green E-commerce Platform and an onboarding tool tailored for sustainable businesses, emphasizing eco-friendly solutions. • Developed an automated marketing mail portal to optimize outreach and communication strategies. • Collaborated with cross-functional teams to enhance existing applications and implement new features effortlessly. • Contributed technical expertise in Agile Scrum ceremonies, driving team collaboration and project success.
AIEdge Technologies Private Limited logo Software Developer Software Developer AIEdge Technologies Private Limited · InternshipAIEdge Technologies Private Limited · Internship Jul 2019 - Jan 2020 · 7 mosJul 2019 to Jan 2020 · 7 mos Hyderabad, Telangana, India · On-siteHyderabad, Telangana, India · On-site As a Software Developer Intern, I gained extensive experience in building innovative applications using AI and ML technologies. My responsibilities included front-end development, dashboard creation, and integrating advanced AI tools such as Tesseract OCR for text recognition and Convolutional Neural Networks (CNNs). I also designed an ad-hoc data loading solution to optimize data handling processes, contributing to the efficiency and scalability of the applications. This internship provided valuable exposure to end-to-end software development in a professional, product-focused environment. Our team's accomplishments were highlighted in SwiftnLift Business Magazine's October 2019 issue, where AI Edge was proudly recognized as one of the "10 Most Promising Startups of 2019." This acknowledgment underscores the innovation and impact of our contributions. To further illustrate this recognition, I have included images of the article in my portfolio, showcasing the significance and success of our work.
As a summer intern at PacketPrep, I developed comprehensive expertise in full-stack web development by designing and implementing web applications from the ground up. My responsibilities encompassed crafting user-friendly interfaces, integrating databases efficiently, and leveraging modern frameworks to deliver robust and scalable solutions.
From enterprise data pipelines to dynamic web platforms, here's a look at the solutions I have helped design, build, and scale across various industries.
Designed and implemented AWS Lambda-based pipelines to ingest and transform mortgage data from internal teams and FHFA institutions like Freddie Mac and Ginnie Mae. Integrated the transformed data into RDS, Glue, and DynamoDB with attribute-based logic, ensuring seamless downstream availability.
Developed and maintained Python-based microservices, leveraging AWS services like Lambda, Redshift, and EMR. Built CI/CD pipelines with Jenkins and CodeBuild. Ensured backend scalability, fault tolerance, and minimal-latency processing across daily, monthly, and annual data jobs.
Led the data migration initiative for legacy-to-modern systems. Designed YAML-based transformations, managed SQL pipelines, and streamlined deployment using AWS CodePipeline. Migrated product and user data while reducing downtime and improving integrity.
Built intelligent dashboards using AI and Tesseract OCR. Integrated CNNs for image recognition and data extraction. Delivered real-time analysis tools and contributed to startup innovation recognized by SwiftnLift Business Magazine.
Delivered microservices and RESTful APIs for secure access, campaign workflows, and user data. Built front-ends with Angular/React, and backends using Node.js. Integrated LDAP for authentication and Grafana/Kibana for monitoring.
Built dynamic web portals and internal tools using Next.js and AWS Lambda. Developed an Excel-to-DynamoDB updater and created a green e-commerce onboarding portal for sustainable businesses.
Created full-stack social and service-based platforms using MEAN stack. Built features like mentor-mentee connections, article sharing, booking systems, and real-time notifications.
Automated build and deployment pipelines using Jenkins, GitLab CI/CD, and CodeBuild. Managed environment configs, release strategies, and orchestrated smooth multi-team releases in Agile environments.
I'm currently open to full-time or contract roles where I can bring my experience in full-stack development, backend engineering, and cloud infrastructure to the table. Let's collaborate to create meaningful, reliable, and scalable systems.
