Available to hire
Hi, I’m Mohith Reddy Dykovuri, a Software Engineer and AI Engineer with 3+ years of experience delivering full-stack applications and AI-powered systems across healthcare, e-commerce, and fintech. I’m proficient in Java, Spring Boot, React, and NestJS, and I enjoy fine-tuning LLMs, building RAG pipelines, and deploying scalable microservices on AWS.
Beyond coding, I’m passionate about performance, reliability, and collaborating with product and design teams to ship robust, impactful solutions. My work has driven measurable improvements, including faster API responses, quicker page loads, and increased data processing throughput.
Skills
Experience Level
Expert
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Intermediate
Language
Javanese
Advanced
Work Experience
Artificial Intelligence Engineer Intern at Bounteous
January 1, 2024 - August 1, 2024Architected an end-to-end content moderation pipeline by fine-tuning GPT-4o and T5 models using LangChain and Hugging Face, doubling detection accuracy of inappropriate content. Augmented the pipeline with a semantic search system integrating Llama and Mixtral models on Databricks and Snowflake, boosting retrieval reliability by 50%. Launched the pipeline as a scalable AI microservices platform on AWS SageMaker with API Gateway and Docker, improving system throughput by 30%. Streamlined ETL workflows using PySpark and AWS Lambda, doubling data ingestion throughput and reducing end-to-end latency by 40%. Spearheaded AI performance dashboards in Tableau and Plotly to monitor model metrics in real time, reducing debugging time by 25% for a team of 4 engineers.
Software Engineer — Frontend & Backend at Vtrixtek Tech
August 1, 2023 - January 1, 2024Engineered a full-stack e-commerce platform using ReactJS, NestJS, and MongoDB, handling 50K+ daily sessions across 10+ product categories with 99.2% uptime. Slashed API response time by 40% by delivering 15+ RESTful APIs with NestJS and OpenAPI, leveraging optimized Redis caching for product catalog, authentication, and order processing. Integrated an AI-powered support chatbot using OpenAI Assistants API and RAG architecture, achieving 78% autonomous resolution rate for 5K+ daily queries and cutting support costs by 35%. Accelerated page load time by 73% (4.5s to 1.2s) by refactoring React components with lazy loading and code splitting, boosting Core Web Vitals scores by 35%. Established a testing framework (Jest, Postman) with 85% code coverage and CI/CD pipelines via GitHub Actions, reducing production bugs by 30% and deployment time by 60%.
Software Engineer at Athenahealth Technology Pvt Ltd
September 1, 2022 - July 1, 2023Delivered 12+ RESTful APIs using Spring Boot with request validation, exception handling, and structured logging, enabling 12,500+ claims to be processed daily in production. Configured Spring Batch pipelines handling 70K+ records daily with fault tolerance, directly supporting data-intensive backend workflows applicable to AI data engineering. Strengthened system reliability by leading regression and integration testing with JUnit across a 5-engineer team, achieving 97% code coverage and zero production incidents.
Education
Master of Science in Computer Science at Wright State University
January 11, 2030 - May 1, 2026Qualifications
Industry Experience
Healthcare, Software & Internet, Financial Services, Professional Services, Retail
Skills
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Expert
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Intermediate
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