I am a Full-Stack Software Developer and Machine Learning Engineer currently pursuing a Master’s in Computer Science (Data Science) at the University of North Carolina at Charlotte. I specialize in building scalable web applications, APIs, and data-driven systems using technologies such as Python, JavaScript, React, Node.js, Next.js, FastAPI, and AWS. Previously, I worked as a Software Engineer at ACS Technologies, where I developed and optimized full-stack SaaS applications, improving platform performance and reducing API response latency by 60–70%. My experience includes designing REST APIs, backend services, machine learning pipelines, and high-performance dashboards. I enjoy helping clients transform ideas into reliable software solutions, whether it's building web platforms, developing backend systems, integrating machine learning models, or optimizing application performance.

Kilaru Mahith Sai

I am a Full-Stack Software Developer and Machine Learning Engineer currently pursuing a Master’s in Computer Science (Data Science) at the University of North Carolina at Charlotte. I specialize in building scalable web applications, APIs, and data-driven systems using technologies such as Python, JavaScript, React, Node.js, Next.js, FastAPI, and AWS. Previously, I worked as a Software Engineer at ACS Technologies, where I developed and optimized full-stack SaaS applications, improving platform performance and reducing API response latency by 60–70%. My experience includes designing REST APIs, backend services, machine learning pipelines, and high-performance dashboards. I enjoy helping clients transform ideas into reliable software solutions, whether it's building web platforms, developing backend systems, integrating machine learning models, or optimizing application performance.

Available to hire

I am a Full-Stack Software Developer and Machine Learning Engineer currently pursuing a Master’s in Computer Science (Data Science) at the University of North Carolina at Charlotte. I specialize in building scalable web applications, APIs, and data-driven systems using technologies such as Python, JavaScript, React, Node.js, Next.js, FastAPI, and AWS.

Previously, I worked as a Software Engineer at ACS Technologies, where I developed and optimized full-stack SaaS applications, improving platform performance and reducing API response latency by 60–70%. My experience includes designing REST APIs, backend services, machine learning pipelines, and high-performance dashboards.

I enjoy helping clients transform ideas into reliable software solutions, whether it’s building web platforms, developing backend systems, integrating machine learning models, or optimizing application performance.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Work Experience

Graduate Teaching Assistant at University of North Carolina at Charlotte
August 1, 2025 - Present
Led machine learning lab sessions for 50+ students, teaching regression, classification, and clustering algorithms using Python, Scikit-Learn, Pandas, and NumPy. Implemented automated grading with nbgrader and Jupyter Notebooks, reducing weekly workload by 2 hours per TA and standardizing evaluation with automated tests and structured feedback. Refined lab exercises with step-by-step implementations, guided examples, and debugging walkthroughs to help students understand ML workflows and troubleshoot issues.
Software Engineer (Full-Stack) at ACS Technologies Limited
August 1, 2022 - June 1, 2024
Designed and maintained a full-stack web application using React.js, Next.js, NestJS, Python (Flask, FastAPI), PostgreSQL, MongoDB, and Redis. Improved onboarding efficiency by 25% and supported scalable data processing and dashboard workflows for a SaaS model. Optimized API performance via backend queries, indexing, and server-side pagination, reducing latency by 60-70% (from ~900 ms to ~300 ms). Engineered responsive dashboard UI with lazy loading, state management, and API response caching, improving load times by 40-50% and increasing user engagement by 20%. Enhanced security with RBAC, JWT authentication, input validation, API schema validation, and response filtering.
Web Developer Intern at Bharat Heavy Electricals Limited (BHEL)
December 1, 2021 - March 1, 2022
Built a full-stack vehicle pass management system using React.js, Node.js, and SQL, automating approval workflows and reducing manual processing time by 30%. Architected REST API endpoints and optimized SQL queries to improve backend data processing, database performance, and response times.

Education

M.S. Computer Science (Data Science) at University of North Carolina at Charlotte
August 1, 2024 - May 1, 2026
B.Tech Computer Science and Engineering at GITAM University
June 1, 2020 - May 1, 2024

Qualifications

Databricks Certified Data Engineer Associate
January 11, 2030 - March 16, 2026
AWS Certified Cloud Practitioner
January 11, 2030 - March 16, 2026
IBM Deep Learning Specialization
January 11, 2030 - March 16, 2026
AWS Academy Data Engineering
January 11, 2030 - March 16, 2026

Industry Experience

Software & Internet, Education, Professional Services