About
I am a Lead AI Engineer with 8+ years of experience designing, building, and scaling production AI systems that solve real-world business problems. My expertise spans Agentic AI, Large Language Models (LLMs), Voice AI, Computer Vision, NLP, Machine Learning, and AI Platform Engineering. I have built enterprise AI solutions across conversational AI, Retrieval-Augmented Generation (RAG), multi-agent systems, document intelligence, recommendation engines, multilingual voice assistants, and computer vision. My experience covers the complete AI lifecycle—from model development and evaluation to deploying scalable AI platforms. Selected Impact • Reduced AI inference costs by 70% through architecture and model optimization. • Improved response latency by 10×. • Reduced LLM token consumption by 4×. • Built an enterprise AI platform integrating 800+ APIs for intelligent workflow automation. • Designed scalable multi-agent AI systems with dynamic tool orchestration and evaluation frameworks. • Delivered production AI solutions used by enterprise customers. I have led cross-functional teams of AI Engineers, Data Scientists, and Software Engineers, driving projects from concept to production. My responsibilities include AI architecture, technical mentoring, engineering excellence, stakeholder management, roadmap planning, client engagement, and establishing best practices for scalable AI development. My recent work focuses on production AI agent platforms featuring multi-step reasoning, autonomous task execution, tool orchestration, voice-enabled AI, agent evaluation, and Responsible AI guardrails. I'm passionate about building AI systems that are scalable, reliable, and measurable. Core Expertise • Agentic AI & Multi-Agent Systems • Large Language Models (OpenAI, Anthropic, Gemini, Llama) • Retrieval-Augmented Generation (RAG) • Voice AI & Conversational AI • AI Evaluation & Responsible AI • AI Platform Engineering & MLOps • Machine Learning, NLP & Computer Vision • AWS, Python, TypeScript, FastAPI, Docker & Kubernetes • Technical Leadership & Team Building I'm always interested in connecting with engineers, founders, and organizations building the next generation of AI products and platforms.
Work experience
Lead AI Engineer (DS & AI) at HighLevel, Nov 2025 - Present · 10 mos, Markapur, Andhra Pradesh, India
Data Science Manager - GenAI at Yubi, Apr 2025 - Nov 2025 · 8 mos, Bengaluru, Karnataka, India
Lead Data Scientist at Yubi, Oct 2023 - Jun 2025 · 1 yr 9 mos, Bengaluru, Karnataka, India
Senior Data Scientist at Yubi, Jun 2022 - Sep 2023 · 1 yr 4 mos, Bengaluru, Karnataka, India
Senior Machine Learning Engineer at Freshworks, Apr 2021 - May 2022 · 1 yr 2 mos, Hyderabad, Telangana, India
Associate Machine Learning Engineer at CogniCor Technologies, Oct 2018 - Apr 2021 · 2 yrs 7 mos, Kochi, India
Machine Learning Research Intern at CogniCor Technologies, Jun 2018 - Sep 2018 · 4 mos, Kochi, Kerala, India
Data Scientist Intern at Navro Technology Solutions, Apr 2018 - May 2018 · 2 mos, Bengaluru, Karnataka, India, • Appreciated by CEO as punctual, hardworking, intuitive and good team player. • Developed ADR classification ML models to predict Adverse Drug Reaction (ADR) or Adverse Event Following Immunization (AEFI) from data to provide pharmacovigilance in the pharma sector. • Mining streaming data from Twitter and building databases. • Tools used: Python, Tweepy. PostgreSQL, Scikit-Learn, NLTK, SQL, Psycopg2, Pandas, Numpy and Spacy.
Education
Master's degree, Aerospace, Aeronautical and Astronautical Engineering, Indian Institute of Technology, Madras
Bachelor's degree, Aeronautics/Aviation/Aerospace Science and Technology, General, PRASAD V POTLURI SIDDHARTHA INSTITUTE OF TECHNOLOGY, Behind VR Siddhartha Engg. College, Kanuru, Vijayawada, PIN-520007(CC-50)
