Laasya V.
Mid-Level AI Engineer
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Laasya V. is a seasoned AI Engineer with significant expertise in deploying scalable Large Language Models (LLMs) and Generative AI applications at Hanvok Group since May 2026. She has unified LangChain and LlamaIndex to enhance RAG pipelines, boosting client deliverables by 40% while maintaining model stability. Known for optimizing data processing pipelines, she significantly reduced training latency by 30% using Apache Spark and Databricks. Her commitment to data security ensured SOC2 compliance through RBAC and encryption in AWS. Previously as an IT Program Lead at Projxon, she enhanced sprint velocity by 25% and led a 30-member team in AI and cybersecurity domains. Laasya's projects included building a resilient AI conversation app powered by OpenAI, achieving 99.9% uptime. Her tenure as an AI Research Technologist at Washington State University showcased her skill in reducing model hallucinations by 45% and cost by 35% through innovative techniques. She holds a Master of Science in Computer Science from Washington State University.
Experience
AI Engineer
Hanvok Group · 2026 — PresentLed the architecture and deployment of Large Language Models (LLMs) and advanced Generative AI applications, employing LangChain and LlamaIndex to create RAG pipelines and agentic workflows. Optimized distributed data processing pipelines using Apache Spark and Databricks, focusing on the ingestion and preprocessing of large textual datasets for enhanced model training. Implemented data privacy protocols and governance frameworks through Role-Based Access Control (RBAC) and encryption in AWS environments.IT Program Lead
Projxon · 2026 — 2026Oversaw the Software Development Life Cycle (SDLC) for a diverse technical division in Cybersecurity and AI, utilizing Agile frameworks and tools like ClickUp and Jira for improving cross-team interactions. Developed an AI conversational application powered by OpenAI APIs, integrating automated text summarization via Node.js. Designed CI/CD pipelines employing GitHub Actions and GitLab CI in collaboration with InfoSec teams to ensure security compliance.AI Research Technologist
Washington State University · 2024 — 2025Created a sophisticated Retrieval-Augmented Generation (RAG) system that utilized FAISS and LlamaIndex for vector similarity search. Implemented Parameter-Efficient Fine-Tuning (PEFT) and LoRA techniques on Hugging Face models to enhance performance while reducing computational costs. Built scalable multimodal data pipelines combining Physics-Informed Neural Networks (PINNs) with mathematical modeling frameworks for dynamic visual reporting.Junior Web Developer
Washington State University · 2024 — 2025Developed a full-stack Generative AI editorial assistant application, employing Flask as the backend and React.js as the frontend. Secured and built RESTful APIs with JSON Schema validation and Redis rate limiting for efficient user query processing. Created an automated evaluation harness for LLM outputs while ensuring compliance with WCAG 2.1 standards.Software Engineer
Wipro, India · 2022 — 2022Decoupled a legacy C#/.NET architecture by designing and deploying Python-based microservices that incorporated Named Entity Recognition (NER) models for automated data extraction. Conducted performance tuning and optimization of databases through SQL query normalization and B-tree indexing to improve search response times in a flight reservation system.
Skills & Expertise
Education
- Master of Science in Computer ScienceWashington State University · — — 2025