Fullstack AI Engineer
Crafting robust, scalable applications that make an impact.
I'm a Full-stack AI Enginner with experience in building scalable web applications and AI-powered systems using modern cloud and LLM technologies. Check out my projects and skills.
Experience
TTU Online — AI Engineer
📅(2026 – Present) Texas , USA
- Building and maintaining Python services and internal tools for TTU Online systems, with a focus on reliability and clear integration points between apps and data pipelines.
- Applying lightweight AI-assisted workflows where they add value—such as summarization, routing, and quality checks—while the stack and requirements continue to take shape.
TTUHSC — Software Developer
Texas Tech University Health Sciences Center
📅(2025 – 2026) Texas , USA
- Served as development team lead on medical research–oriented projects, coordinating implementation priorities with clinicians and researchers while shipping usable software on tight timelines.
- Built and evolved applications in Python and Next.js to support people with speech and hearing disabilities—focusing on accessible UX, clear feedback, and workflows that work in real clinical contexts.
- Partnered with doctors and faculty to scope, build, and iterate web apps and desktop tools used inside the hospital for teaching, data collection, and day-to-day clinical support.
CSGI — Software Engineer, Full Stack
📅(August 2023 – August 2025) Banglore , India
- Built and integrated Venmo payment support into a production-grade platform using secure SDK and API workflows.
- Executed the migration of critical databases from MSSQL to PostgreSQL, including schema and procedure refactoring.
- Built and maintained REST APIs, SOAP services, and legacy web applications using .NET Framework and .NET Core.
CSGI — Developer Intern
📅(February – August 2023) Banglore , India
- Assisted in front-end development using Angular, enhancing UI components for real-world applications.
- Contributed to code maintenance and debugging in .NET APIs, ensuring smooth integration with backend systems.
- Gained hands-on experience with SQL and participated in data validation for key modules in the billing platform.
Exposys Data Labs — Data Science Intern
📅(2022) Banglore , India
- Developed a diabetes prediction model using machine learning algorithms including Logistic Regression, KNN, and Decision Trees, improving prediction accuracy through data preprocessing and feature engineering.
Education
Sri Venkateshwara College of Engineering
🎓BE in Computer Science
(2019 - 2023) Bangalore,India
Texas Tech University
🎓MS in Computer Science. Texas,USA
(2024 - Present) Texas,USA
My Projects
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What People Say About Me?
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