Aashika Lakshmanan

Generative AI Engineer with 3+ years of experience building production-grade LLM-powered applications, AI Agents, Retrieval-Augmented Generation (RAG) systems, and Conversational AI solutions for Banking and Healthcare domains. Delivered end-to-end AI solutions serving multiple end-users across 3 enterprise clients, reducing customer query resolution time. Proficient in LangChain, LangGraph, OpenAI, AWS Bedrock, Prompt Engineering, Vector Databases, Embeddings, NLP, FastAPI, and Python.

Software Engineer — Generative AI - Opus Infiniti Services Pvt. Ltd. - Chennai

(2025-10)

Domain: Banking | Client: Azizi Bank

• Designed and implemented Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
• Built AI Agents using LangGraph for multi-step workflow automation and decision-making processes.
• Developed conversational AI solutions for customer query handling, product information retrieval, and banking support automation.
• Implemented Prompt Engineering techniques to improve response quality, accuracy, and contextual understanding.
• Integrated OpenAI and AWS Bedrock foundation models into enterprise banking applications.
• Built intelligent document processing solutions for financial documents, policies, regulatory guidelines, and operational manuals.
• Developed semantic search systems using embeddings and vector databases for enterprise knowledge management.
• Optimized AI workflows through prompt tuning, evaluation frameworks, and performance monitoring.
• Collaborated with cross-functional teams to deploy secure, scalable, and production-ready AI solutions.

Associate Software Engineer — Generative AI - Adaptive Development Pvt. Ltd. - Tirunelveli

(2025-01 - 2025-07)

Domain: BFSI | Client: Maiwand Bank

• Developed an LLM-powered Banking Knowledge Assistant using LangChain, OpenAI, and Vector Databases.
• Implemented RAG architecture for accurate retrieval of banking policies, procedures, and product information.
• Built AI Agents using LangGraph to handle multi-step banking workflows and decision-making tasks.
• Integrated semantic search and document intelligence capabilities for enhanced knowledge discovery.
• Improved information retrieval accuracy through prompt engineering and embedding optimization.

Associate Software Engineer — AI/ML - Adaptive Media - Tirunelveli

(2023-03 - 2024-12)

Domain: Healthcare | Client: CarePlus Healthcare

• Developed Generative AI applications using Large Language Models (LLMs) for healthcare document analysis and information retrieval.
• Designed and implemented Retrieval-Augmented Generation (RAG) pipelines for accurate retrieval of medical knowledge and healthcare documentation for doctors and hospital employees.
• Built AI Agents using LangGraph for multi-step workflow automation and intelligent decision-making processes.
• Developed conversational AI assistants to support healthcare-related information access and query resolution.
• Implemented Prompt Engineering techniques to improve response accuracy, relevance, and contextual understanding.
• Integrated OpenAI and AWS Bedrock foundation models into enterprise healthcare applications.
• Built intelligent document processing solutions for medical records, healthcare policies, clinical guidelines, and regulatory documents.
• Developed semantic search systems using embeddings and vector databases for efficient healthcare knowledge discovery.
• Optimized LLM applications through prompt tuning, model evaluation, and performance monitoring.
• Collaborated with cross-functional teams to develop secure, scalable, and production-ready AI solutions.

Bachelor of Computer Applications - BCA - Sri Sarada College For Women, Tirunelveli (2019 - 2022)

Higher Secondary - HSLC - Govt. Girls Higher Secondary School, Kumbakonam (2018 - 2019)

Secondary - SSLC - Kumbaswarar Thirumanshana Vithi HSS, Kumbakonam (2016 - 2017)