Gopinath A — Software Engineer

I am a Full-Stack & AI Engineer with 4 years of professional experience building scalable web applications and production-ready AI/ML systems. My expertise spans modern frontend development with React and Next.js, backend services using FastAPI and Node.js, and deploying end-to-end machine learning solutions on Azure. I have hands-on experience designing and delivering intelligent AI systems using LangChain and LangGraph, including agentic workflows, tool-based reasoning, and multi-step orchestration for real-world applications. I have built Retrieval-Augmented Generation (RAG) systems using ChromaDB and MongoDB Vector Search, leveraging transformer-based embedding models such as all-MiniLM-L6-v2 for semantic search and contextual retrieval. I bring strong experience in fine-tuning both Large Language Models (LLMs) and Small Language Models (SLMs) using parameter-efficient techniques such as LoRA and QLoRA with the PEFT framework. I have applied these techniques to domain-specific tasks like sentiment analysis and reasoning-based text understanding, enabling efficient adaptation of models with reduced compute and memory overhead. My AI/ML background also includes building predictive models (such as property price prediction), managing full ML lifecycles using Dataiku DSS, and operationalizing models through automated pipelines, experiment tracking, and scalable deployments. I focus on transforming experimental models into stable, production-ready systems. On the frontend, I specialize in crafting clean, responsive, and high-performance user interfaces using React, Next.js, Material-UI, and Tailwind CSS. I have improved UI performance by up to 50% through component optimization and thoughtful architecture design. I thrive at the intersection of full-stack engineering and applied AI — translating complex machine learning and LLM capabilities into maintainable, user-centric products. I am passionate about building agentic, data-driven systems that deliver measurable business impact through clean code, scalable architectures, and intuitive user experiences.

Stackforce AI infers this person is a Full-Stack Engineer with a strong focus on AI/ML solutions.

Location: Bengaluru, Karnataka, India

Experience: 4 yrs 1 mo