I’m a graduate of the University at Buffalo and the College of Engineering, Guindy. As a results-driven individual with a competitive spirit and a desire for continuous development, I highly prefer environments where collaborative learning is valued. As an intern at Techavidity, my work involves training generative models using LangChain and Cypher query language and working with vector databases. I also intern at GreenInfo Tech (an S-Corp based in California), where I work on the MedScribe AI project, which focuses on automating paperwork by transcribing patient encounters, generating notes, and filling medical forms. My academic and project work spans Agentic AI, classical ML models, data analysis using Python and SQL, and computer vision. Based on these experiences, I am eager to contribute to impactful generative AI projects and pursue full-time opportunities in entry-level IT and data science roles.

Nithil Eshwar Mani

I’m a graduate of the University at Buffalo and the College of Engineering, Guindy. As a results-driven individual with a competitive spirit and a desire for continuous development, I highly prefer environments where collaborative learning is valued. As an intern at Techavidity, my work involves training generative models using LangChain and Cypher query language and working with vector databases. I also intern at GreenInfo Tech (an S-Corp based in California), where I work on the MedScribe AI project, which focuses on automating paperwork by transcribing patient encounters, generating notes, and filling medical forms. My academic and project work spans Agentic AI, classical ML models, data analysis using Python and SQL, and computer vision. Based on these experiences, I am eager to contribute to impactful generative AI projects and pursue full-time opportunities in entry-level IT and data science roles.

Available to hire

I’m a graduate of the University at Buffalo and the College of Engineering, Guindy. As a results-driven individual with a competitive spirit and a desire for continuous development, I highly prefer environments where collaborative learning is valued. As an intern at Techavidity, my work involves training generative models using LangChain and Cypher query language and working with vector databases. I also intern at GreenInfo Tech (an S-Corp based in California), where I work on the MedScribe AI project, which focuses on automating paperwork by transcribing patient encounters, generating notes, and filling medical forms. My academic and project work spans Agentic AI, classical ML models, data analysis using Python and SQL, and computer vision. Based on these experiences, I am eager to contribute to impactful generative AI projects and pursue full-time opportunities in entry-level IT and data science roles.

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Experience Level

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Work Experience

Software Engineer Intern at Green Info Tech
July 1, 2025 - Present
Collaborated with the development team to develop and test AI/ML-driven solutions for the MedScribe AI project, focusing on automating paperwork through transcription, note generation, and medical form filling. Utilized AWS services including EKS, AppRunner, and Cognito for scalable, secure cloud infrastructure. Implemented CI/CD pipelines and Terraform scripts for automated deployment and infrastructure management. Conducted unit and integration testing while optimizing backend code to improve performance by 20%.
Software Engineer Intern at Techavidity
June 1, 2025 - Present
Built and managed graph databases using Neo4j and MilvusDB to support large-scale applications. Employed Neo4j ETL tools to generate metadata mappings and export data from PostgreSQL. Implemented graph algorithms and used Neo4j Aura Graph Analytics for deeper insights. Integrated AI models for intelligent relationship discovery and data-driven automation with GraphRAGs. Incorporated serverless applications simplifying development and reducing costs by 50%.
Research Assistant at University at Buffalo
May 1, 2025 - August 22, 2025
Contributed to the development and testing of UnionLabs, an online platform for sharing data, code, and resources for research in next-generation networks and wireless IoT. Established AWS EC2-local server connectivity with API endpoints. Conducted thorough backend, database, and API testing to ensure robustness and reliability. Helped reduce lab costs by 60% through cloud-based remote-access solutions. Optimized React.js front-end code to improve user accessibility and responsiveness by 70%.

Education

Master of Science (Data Science) at University at Buffalo
August 1, 2023 - May 1, 2025
Bachelor of Engineering (Computer Science and Engineering) at College of Engineering, Guindy
August 1, 2019 - May 1, 2023

Qualifications

AWS Certified Machine Learning Engineer Associate
January 11, 2030 - August 22, 2025
AWS Certified Data Engineer Associate
January 11, 2030 - August 22, 2025

Industry Experience

Software & Internet, Healthcare, Education, Professional Services