I am Nikhil Ramavath, a detail-oriented software engineer with 4+ years of hands-on experience building real-world software and AI-assisted tooling. I specialize in prompt engineering, AI response evaluation, and producing high-quality technical documentation to guide model behavior. I excel at collaborating asynchronously with global research and engineering teams to refine evaluation protocols, improve quality, and craft benchmark outputs that guide model performance. I am passionate about mentoring teammates, maintaining rigorous output standards, and delivering clean, user-focused software solutions.

Nikhil Ramavath

I am Nikhil Ramavath, a detail-oriented software engineer with 4+ years of hands-on experience building real-world software and AI-assisted tooling. I specialize in prompt engineering, AI response evaluation, and producing high-quality technical documentation to guide model behavior. I excel at collaborating asynchronously with global research and engineering teams to refine evaluation protocols, improve quality, and craft benchmark outputs that guide model performance. I am passionate about mentoring teammates, maintaining rigorous output standards, and delivering clean, user-focused software solutions.

Available to hire

I am Nikhil Ramavath, a detail-oriented software engineer with 4+ years of hands-on experience building real-world software and AI-assisted tooling. I specialize in prompt engineering, AI response evaluation, and producing high-quality technical documentation to guide model behavior.

I excel at collaborating asynchronously with global research and engineering teams to refine evaluation protocols, improve quality, and craft benchmark outputs that guide model performance. I am passionate about mentoring teammates, maintaining rigorous output standards, and delivering clean, user-focused software solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

English
Fluent

Work Experience

Software Engineer at Cigna HealthCare
March 1, 2024 - Present
Led creation and validation of coding-relevant prompts reflecting real-world software engineering scenarios to test AI model behavior. Evaluated AI-generated content for formatting integrity, tone alignment, and domain-specific writing norms; drafted expert-level 'golden responses' to benchmark performance. Flagged errors and stylistic deviations to improve quality. Collaborated asynchronously with research and engineering teams to refine evaluation protocols, documenting results clearly. Maintained meticulous attention to output quality and standards, while contributing to version control with Git and CI/CD pipelines using Jenkins, Docker, and Kubernetes. Participated in small Agile teams, explaining architectural tradeoffs and driving UI/UX polish. Mentored junior developers during code reviews and onboarding.
Full Stack Engineer at Bank of New York
May 1, 2021 - July 1, 2022
Designed coding-based prompts and real-world technical scenarios to test automated systems and AI-assisted tools. Reviewed AI-generated outputs for formatting accuracy, logical correctness, and communication clarity. Authored high-quality benchmark responses ('golden responses') to establish baselines. Identified and flagged logical, structural, and stylistic issues to improve consistency. Worked in asynchronous, cross-functional technical and research teams. Produced structured, domain-specific written documentation aligned with industry norms. Demonstrated strong attention to detail, maintained disciplined Git workflows, and supported CI/CD pipelines using Jenkins and GitHub Actions. Regularly explained technical decisions during design reviews and advised stakeholders on design options, timelines, and resource needs. Focused on code quality, documentation, and maintainable architecture.
Software Engineer & Backend Developer at Cognizant
February 1, 2020 - April 1, 2021
Developed real-world coding prompts and technical problem statements to evaluate automated code generation workflows. Assessed AI outputs for formatting standards, technical accuracy, and stylistic consistency. Created expert model benchmark responses to guide system training. Detected and documented errors and deviations in generated content. Collaborated asynchronously with distributed research, QA, and engineering teams to improve evaluation processes. Produced high-precision technical artifacts following strict domain standards. Tuned browser performance, DOM rendering, memory management, and long-session stability. Integrated secure auth models with JWT, OAuth2, and token lifecycle governance. Used Git, testing frameworks, and CI/CD practices to ensure stable deployments. Comfortable in ambiguous projects, owning small-team outcomes and rapidly learning new domains.

Education

Master of Science in Computer Science at California State University, East Bay
August 1, 2022 - May 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Professional Services