Vidyasagar Parlapalli is a seasoned AI/ML Engineer with over 12 years of experience in developing and deploying cutting-edge AI and machine learning solutions across diverse industries. He specializes in Generative AI, Retrieval-Augmented Generation (RAG), LLMs, Deep Learning, and Quantum Computing. Currently a Senior AI/ML Engineer at KLA Corporation, Vidyasagar has a proven track record of driving innovation and delivering measurable business impact through advanced AI technologies.
A recognized thought leader, Vidyasagar holds prestigious memberships, including Senior IEEE Member, AAIA Senior Member, SAS Fellow Member, and IOASD Royal Fellow Member. He is also a Google Scholar, an active peer reviewer for Elsevier and other reputed journals, and a recipient of the International Achievers Award for his contributions to AI and machine learning.
Professional Experience
KLA Corporation – Senior AI/ML Engineer
- Architected advanced Gen AI solutions using Agent-based retrieval, grading, hallucination, evaluation, critiquing, and dissector agents with RAFT (RAG + Fine-tuning) and advanced prompting techniques, improving LLM accuracy by 33%.
- Developed part failure and defect detection models, enhancing inventory management and increasing revenue by $15 million.
- Created a no-code platform for data cleaning and ingestion into vector and knowledge graph databases, streamlining data processing and enabling efficient deployment of RAG techniques across various business functions.
Verizon Wireless – Senior Data Scientist
- Implemented Quality Experience Scoring across customer interaction channels (web, chat, chatbot, retail, IVR, network), leading to improved customer satisfaction and reducing operational costs by 15%.
AT&T – Data Scientist II
- Developed and integrated ML models with heuristic rules for tethering detection, improving internet quality and increasing user retention by 18%.
Capital One – Data Scientist
- Built Open Banking APIs to automate transaction categorization, enhancing global transaction visibility and reducing financial risk by 7%.
- Delivered advanced customer analytics for marketing segmentation, increasing segmentation accuracy by 20% and improving customer retention by 15%.
Tata Consultancy Services and Other Projects
- Engineered robust data pipelines for IoT data from pacemakers, improving data accuracy and patient outcomes.
- Developed web-based UI applications using JSP and Spring MVC and migrated architecture from MVC to Spring MVC, enhancing system efficiency and scalability.
Expertise and Technical Skills
- Programming Languages: R, Python, Spark, SQL, Objective C
- Data Engineering: Pandas, Pipelines, Oozie, Tableau, Big Data, Hive, Hadoop, Snowflake, Spark, Vector DB, Graph DB
- Functional Expertise: Metrics Definition & Tracking, A/B Testing, Stakeholder Communication
- Statistics and Machine Learning: Statistical methods, Traditional Algorithms (SVM, Decision Trees, RF, KMeans, PCA, XGBoost), NLP, Deep Learning, Neural Networks, LLMs, Fine-tuning, RAG Variants, PEFT, LoRA, QLoRA
- Tools and Cloud Platforms: Azure, Databricks, Git, Llama, Mistral, GenAI Agents, Lang Graph, Langchain, Crew AI
Education
- Master of Science, Computer Science – Texas A&M University Kingsville, Texas, USA
- Bachelor of Technology, Information Technology – SASTRA University, Tamil Nadu, India
Achievements and Affiliations
- Recognized as a Google Scholar, Mentor, Judge, Author, and Blogger.
- Holds prestigious memberships as a Senior IEEE Member, AAIA Senior Member, SAS Fellow Member, and IOASD Royal Fellow Member.
- Active peer reviewer for Elsevier and other leading journals.
- Strong interest in Quantum Computing as a Quantum Enthusiast and Quantum Aspirant.
- Awarded the International Achievers Award for outstanding contributions in AI and ML.
Vidyasagar Parlapalli stands at the forefront of AI and ML innovation, consistently delivering impactful solutions and driving advancements in the field. His expertise in Gen AI, RAG, and LLMs, combined with his leadership and mentoring roles, make him a key figure in the AI and data science community.