About
I am an AI Engineer with an experience of 1.7+ years in developing and delivering production-grade AI systems. My primary expertise lies in Generative AI, LLMs, RAG, and Agentic AI domains. I have worked extensively in the intersection of AI Engineering and Product Development to build AI-native products and bring them to market readiness. I began my career building full-stack web applications and backend systems that enabled me to learn and specialize in Python, API development, databases, and product engineering. My transition to AI Engineering has allowed me to focus on building production-grade AI systems, including models, pipelines, prompts, and data curation, to deliver reliable, scalable, and production-ready AI solutions. At Biomarks.ai, I was a founding team member of a 5-person team that got an AI-driven health analytics platform to production. In my role, I architected and deployed 9 AI models for evaluating various aspects of wellness as part of the platform and engineered a production-grade multi-agent LLM pipeline leveraging OpenAI and Anthropic/Claude APIs to perform analyses and generate personalized reports for each user. The application attracted 600+ users within a week of its launch. Besides working on client projects, I have been building and launching AI products as well. I engineered MatchBoard, an AI-driven job-matching platform, and DocMind, a RAG-based document intelligence platform with features such as embeddings, vector retrieval, multi-turn conversations, and source tracking. Currently, I am looking for an AI Engineer position where I can contribute to teams working on production-grade AI systems, including LLM applications, agentic AI, and RAG-based products. My technical skills encompass Python programming and LLMs, and my primary interest lies in building end-to-end AI systems that employ models, data, and other tools and technologies to engineer effective solutions and products.
Work experience
Artificial Intelligence Engineer at SearchForecast, Jan 2025 - Present · 1 yr 10 mos, Australia, Biomarks.ai AI Engineer Built a production-grade multi-agent LLM system using OpenAI and Claude APIs to analyze employee health metrics and generate personalized wellness reports at scale. Developed and integrated computer vision models for facial and eye-based wellness assessments. Engineered backend infrastructure using PHP, Python, and MySQL, and managed deployment using WordPress and cPanel. Diagnosed and resolved intermittent Claude Vision API failures by implementing retry-with-backoff and optimizing request payloads to maintain reliable API usage within rate limits. Contributed to taking the platform from prototype to a production-ready application.
