About
AWS-certified Full Stack Developer, Automation Engineer, and AI Model Evaluation Engineer with a year of professional experience building scalable web applications, intelligent automation pipelines, and ML-powered systems. Proficient in React.js, Node.js, Go (Golang), and TypeScript, with hands-on expertise in n8n, Make.com, and Webflow. Proven track record of delivering production-grade solutions, from real-time trading dashboards to B2B lead intelligence platforms.
Skills & Expertise (45)
Work Experience
Jr Software Engineer, Automation Engineer
iGeek
Sep 2025 - Present
Software Engineer — iGeek | September 2025 – Present I work as a Software Engineer at iGeek, where I am involved in building full-stack applications, developing responsive user interfaces, backend systems, and business automation workflows. My work includes developing an Online Restaurant Booking System using React.js, Node.js, Express.js, and MySQL. The system provides real-time table availability and includes an admin dashboard for managing restaurant operations and bookings. I have also developed the frontend for a Trading Application using React.js. The application includes live price charts, a portfolio dashboard, and order placement functionality, with a focus on creating a responsive and user-friendly trading interface. In addition to application development, I have designed and deployed automation workflows using n8n for targeted lead generation. The workflow uses webhook integrations and automated data extraction to collect business contact information such as email addresses, phone numbers, and executive-level decision-maker details. This helped automate a traditionally manual lead-generation process. My role also involves working with technologies including React.js, Node.js, Express.js, MySQL, REST APIs, JavaScript/TypeScript, Git, AWS, and automation platforms such as n8n and Make.com. AI Model Evaluation Engineer — Micro1 Codex | Concurrent with iGeek As an AI Model Evaluation Engineer at Micro1 Codex, I work on improving the quality, reliability, and performance of AI models, particularly through prompt engineering and systematic model evaluation. My responsibilities include designing and curating high-quality prompts used for AI model training and evaluation across multiple Large Language Models (LLMs). I evaluate model responses systematically to assess their quality, accuracy, consistency, and alignment with the intended behavior. I also identify failure modes, edge cases, inconsistencies, and undesirable behaviors in model outputs. Based on these evaluations, I provide structured feedback that can be used to improve model reliability and response quality. This role has given me practical experience in prompt engineering, AI model evaluation, LLM behavior analysis, identifying model weaknesses, and developing evaluation approaches for AI systems.
Education
Bachelor of Technology (B.Tech.) in Computer Science - Vellore Institute of Technology
2021 - 2025 · India
Certifications
AWS CERTIFIED CLOUD PRACTITIONER
Amazon Web Services · 2024
Earned the AWS Certified Cloud Practitioner certification, demonstrating foundational knowledge of AWS Cloud concepts, core AWS services, security, architecture, pricing, and cloud computing fundamentals. Gained an understanding of how AWS solutions support scalable, secure, reliable, and cost-effective cloud infrastructure.
MERN FULL STACK INTERNSHIP
ETHNUS, CODEMITHRA · 2023
Completed a MERN Stack Development certification from Ethnus, gaining hands-on experience in building full-stack web applications using MongoDB, Express.js, React.js, and Node.js. Developed practical skills in frontend and backend development, REST APIs, database integration, application architecture, and implementing dynamic, scalable web applications using the MERN stack.
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Skills (45)
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