Open to opportunities

Sai Nihal

@sainihal

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Full-stack engineer specializing in backend systems, VTEX, and generative AI.

India

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What I'm looking for

I seek roles building backend and AI-driven systems in e-commerce or data-focused teams, with opportunities to ship production services, work on generative AI/RAG, and grow technically within Agile environments.

I am a full-stack engineer with hands-on experience building backend services in C#/.NET and VTEX IO modules, focused on reliability and performance for large-scale storefronts. I have delivered production-ready features that improved API reliability, reduced latency, and streamlined deployment workflows for enterprise clients.

My generative AI work includes revamping RAG pipelines, fine-tuning LLaMA models with FAISS/Chroma embeddings, and developing a multimodal resume-analysis chatbot that significantly reduced manual screening. I combine practical ML engineering with web and automation skills to produce measurable business outcomes.

I enjoy solving backend and automation problems for e-commerce and data-driven products, and I bring a track record of speeding onboarding, increasing engagement, and shipping components under Agile sprints.

Experience

Work history, roles, and key accomplishments

Current

Trainee Software Engineer

Current

GlobalLogic

Nov 2025 - Present (7 months)

Engineered C#/.NET backend services supporting 10K+ daily users, improving API reliability by 18% and reducing storefront latency by 22% through routing and caching optimizations.

C++.NET REST APIs Caching Performance Optimization VTEX Backend Development

Full-Stack Intern

GlobalLogic

Sep 2025 - Nov 2025 (2 months)

Built VTEX IO modules with React/Node.js to improve onboarding throughput by 25% and implemented UI/admin components that cut configuration time by 15%.

VTEX React Node JavaScript Frontend Development UI Components Configuration Management Web Performance

Gen AI Intern

GlobalLogic

Apr 2025 - Aug 2025 (4 months)

Revamped RAG pipelines increasing document-query accuracy by 32%, fine-tuned LLaMA models with FAISS/Chroma embeddings for 28% faster classification, and built a multimodal resume-analysis chatbot reducing screening effort by 60%.

RAG Faiss Chroma NLP Embeddings Python

Web Development Associate

Argonix Labs

Apr 2024 - Jun 2024 (2 months)

Developed responsive UI components increasing client engagement by 14% and automated Python scraping workflows that saved over 70 hours per month.

Frontend Development Responsive Design Python Web Scraping Automation JavaScript HTML CSS Data Collection

Education

Degrees, certifications, and relevant coursework

CVR College of Engineering

Bachelor of Technology, Computer Science (Data Science)

2021 - 2025

Grade: 7.5/10

Pursuing a B.Tech in Computer Science with a Data Science focus; completed coursework in Data Analysis, SQL, Machine Learning, Deep Learning, and Business Intelligence with a CGPA of 7.5/10.