Sakthi 06

AI professional with 3+ years of experience developing intelligent applications for healthcare and enterprise automation. Experienced in working with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), and intelligent document processing solutions. Skilled in building scalable AI applications using Python, FastAPI, PostgreSQL, Redis, FAISS, and ChromaDB.

Strong understanding of machine learning, deep learning, OCR, and conversational AI, with hands-on experience delivering end-to-end solutions from requirement gathering and model development to production deployment in collaboration with cross-functional teams.

Junior AI Engineer - AINQA Healthcare - Coimbatore

(2025-03)

Currently working at AINQA as an AI Engineer, with payroll managed through KG Invicta Services Pvt. Ltd

• Developed AI-powered applications using Large Language Models (LLMs) such as LLaMA, Mistral, Qwen, and Gemini for healthcare and enterprise automation use cases.
• Built RAG-based solutions using LangChain, FAISS, and ChromaDB to retrieve relevant information from large volumes of structured and unstructured documents.
• Developed scalable APIs using FastAPI, PostgreSQL, and Redis to support document processing and AI-driven workflows.
• Fine-tuned domain-specific LLMs using LoRA techniques to improve performance for healthcare-related applications.
• Designed and implemented intelligent document processing solutions using OCR and LLMs to extract and structure information from scanned documents, PDFs, and images.
• Built conversational AI solutions and chatbots to streamline user interactions and improve access to information.
• Implemented application monitoring and LLM observability using Langfuse, leveraging trace logs and performance insights to troubleshoot issues and improve system reliability in production environments.
• Conducted load testing and performance validation for production deployments to ensure application stability, scalability, and responsiveness under high-volume workloads.
• Worked closely with product, QA, and DevOps teams to support deployment, testing, and continuous improvement of AI applications.
• Developed validation and monitoring frameworks to evaluate model outputs and improve the accuracy and reliability of AI solutions.

Data Analyst - Merkle - Coimbatore

(2022-06 - 2024-03)

Completed a 3-month onsite assignment in the Kingdom of Saudi Arabia, leading the deployment and integration of AI-powered healthcare solutions with hospital EMR systems.

• Performed data analysis, data cleaning, exploratory data analysis (EDA), and feature preparation using Python, SQL, Pandas, NumPy, and Excel to support business analytics initiatives.
• Applied statistical techniques including hypothesis testing, ANOVA, Chi-square, t-tests, and z-tests to identify trends, validate insights, and support data-driven decision-making.
• Developed Power BI dashboards and automated reporting solutions, improving data visibility, reporting efficiency, and overall business performance.
• Conducted stakeholder demonstrations, user training, testing, and implementation support, enabling successful adoption of AI-driven clinical workflows and healthcare applications.

B.Tech - Information Technology - Sri Krishna College of Technology (2019 - 2022)

Postgraduate Diploma - Data Science - Imarticus Learning (2024 - 2025)

Diploma - Electrical & Electronic Engineering - Sri Ramakrishna Polytechnic College (2016 - 2019)