Gopi

Experienced IT professional with 6.2 years in the industry, including 3 years of experience specializing in Generative AI Developer, skilled in Python and Data Processing using Pandas and NumPy. I am skilled in Natural Language Processing (NLP) and working with Large Language Models (LLMs) including prompt engineering & parameter tuning (e.g., top-k, top-p) to optimize model responses. Hands on experience in implementing Retrieval-Augmented Generation (RAG) architecture using embeddings, vectorization, and vector databases such as FAISS and Pinecone.

Experienced in developing scalable, production-ready AI solutions with a strong focus on performance, accuracy & reducing hallucinations.

Generative AI Developer - Knackforge Soft Solutions Pvt Ltd

(2023-05)

Worked exclusively on Generative AI features across the Gabby AI platform — fully immersed in every layer of the GenAI stack from LLM API integration to RAG pipeline design, AI agent orchestration, and production output validation.

• Designed and implemented end-to-end LLM integration pipelines in Python using the OpenAI GPT-4o and Anthropic Claude APIs, including prompt chaining, dynamic context management, and structured output post-processing for a live healthcare SaaS platform.
• Built Retrieval-Augmented Generation (RAG) workflows in Python integrating FAISS and Pinecone vector stores with LLM generation, improving AI response accuracy and grounding for healthcare domain queries.
• Engineered AI agent workflows with multi-step tool-calling patterns using LangChain and Python, enabling dynamic reasoning and action execution within the Gabby AI platform.
• Developed and continuously tuned prompt engineering strategies — chain-of-thought, few-shot, system prompt design — to improve LLM response quality, consistency, and healthcare compliance.
• Implemented LLM output validation frameworks in Python covering hallucination detection, response grounding, guardrail checks, and healthcare data privacy compliance for patient-facing AI features.
• Integrated Azure AI Studio and Prompt Flow for prompt lifecycle management, versioning, and systematic A/B evaluation of prompt variants across model updates.
• Built backend REST API services using Python FastAPI, supporting secure multi-tenant data isolation and role-based access for AI-powered features.
• Developed database integration layers using SQL Alchemy ORM and raw SQL (PostgreSQL/MySQL) to ensure end-to-end data integrity across AI application services.
• Collaborated in Agile sprints — sprint planning, backlog grooming, defect triage, and release sign-off with cross-functional stakeholders.

Software Developer - Knackforge Soft Solutions Pvt Ltd

(2023-05 - 2023-05)

Enterprise Web & Mobile Application

• Developed Python-based backend scripts and automation modules for enterprise web and mobile applications, improving delivery consistency across release cycles.
• Built reusable Python helper modules and data-driven utilities for standardised API validation and backend logic verification across multiple client environments.
• Performed REST API testing (Postman) and backend SQL/PostgreSQL validation using Python scripts to confirm accurate data flow and business logic across application layers.
• Wrote Python data validation scripts to verify database state, business rule compliance, and data integrity after each release deployment.
• Managed full defect lifecycle in JIRA; collaborated with developers to triage and resolve backend issues against release targets in Agile sprints.

Software Developer - InOpps Tech

(2019-09 - 2023-05)

Enterprise Web Application

• Developed Python backend automation scripts for login, session management, and regression flows; integrated into CI/CD pipelines for continuous validation.
• Performed SQL-based database validation using Python to verify data integrity and business rule compliance across enterprise web releases.
• Designed and maintained test cases, scenarios, and test data in Python aligned to business requirements and acceptance criteria.
• Managed defect lifecycle end-to-end in JIRA; coordinated with development teams for timely resolution across sprint cycles.

B.E - Electrical and Electronics Engineering - St. Peter's College of Engineering and Technology, Chennai