Pranay Magar

About Pranay Magar

Dynamic Associate Consultant at Infosys, specializing in Generative AI and Conversational AI solutions. With a strong foundation in research and development, I bring innovation to life by crafting intelligent, scalable, and future-ready AI systems. Passionate about transforming traditional workflows through cutting-edge technologies like Agentic AI, LLMs, VectorDB, and Prompt Engineering. I thrive in fast-paced environments where technology meets creativity to deliver real business impact.🧠 Experienced in end-to-end development of GenAI solutions—from API test automation using RAG and ChatCompletion APIs to desktop automation using autonomous agents. I believe in the power of AI to simplify complexity and unlock value across industries. Previously contributed to building Conversational AI platforms at Engagely DMP, where I developed NLP-based bots, integrated APIs, and deployed ML models for churn prediction. Successfully delivered domain-specific solutions for healthcare and enterprise clients. Committed to continuous learning, sharing knowledge, and solving challenging problems with creativity, adaptability, and data-driven precision. My mission is to shape the future of AI by bridging the gap between innovation and real-world impact.Let’s connect and explore how we can collaborate on building transformative AI solutions! 🤝

Experience

1. Senior Associate Consultant

   Infosys

   Apr 2023 — Present · Pune, IN

   Focused on Research and Development (R&D) in GenAI Driving innovation in next-gen AI technologiesDesigning and implementing GenAI solutions using Agentic AI, Python, LLMs, and VectorDB Delivering scalable and intelligent AI-powered systemsResponsibilities Research to identify and evaluate GenAI use cases in various industries Empowering strategic decision-making with real-world AI insightsDesigning AI-driven solutions to transform traditional systems into high-performance, AI-powered systems Enhancing operational efficiency and business value through automationAnalyzing system requirements (CPU, GPU, RAM) for open-source LLMs Ensuring cost-effective and optimized deployment of AI solutionsEnsuring feasibility of solutions across diverse environments and operating systems Maximizing solution adaptability and enterprise-wide adoptionStaying ahead of emerging technologies in GenAI and integrating new advancements Keeping solutions future-proof and competitive in the AI landscapeContributing to knowledge sharing through blogs, presentations, and patents Driving thought leadership and fostering innovation culture within the organization

Education

• Solapur University, Solapur

  Mechanical engineer

  2013 — 2017