Dimpy Varshni
\"Transforming Business with AI | Expert in Generative AI & Deep Learning | AI Scientist @ Accenture AI | Former MLE @ Qualcomm\"
- Role
- Ai Ml Computational Scientist at Accenture
- Location
- Bengaluru, IN
- LinkedIn followers
- 500 followers
About Dimpy Varshni
A dynamic and innovative AI/ML Computational Scientist with over 3+ years of experience, specializing in Generative AI, Deep Learning, and Computer Vision. Currently leading AI initiatives at Accenture AI, is proficient in developing and deploying advanced AI systems, including cutting-edge generative models, and predictive modeling solutions. With a proven track record of implementing efficient AI pipelines and enhancing operational workflows, has consistently delivered high-impact, scalable solutions using Python, PyTorch, and HuggingFace. A passionate problem solver, has successfully designed multi-agent AI systems and advanced algorithms to address complex business challenges. From optimizing AI models for large-scale applications to pioneering the development of next-gen features and enhancements, thrives in cross-functional, innovative environments. With a hands-on approach to project execution, is committed to pushing the boundaries of AI and delivering breakthrough results.
Experience
Ai Ml Computational Scientist
Jul 2024 — Present · Bengaluru, IN
Lead Image Preprocessing & GENAI Pipeline Development: Spearheading image preprocessing tasks and implementing advanced GENAI pipelines, including Large Language Models (LLM) and Retrieval-Augmented Generation (RAG), to optimize and automate complex workflows.• AI Agent Pipeline Leadership: Overseeing the end-to-end development of AI Agent pipelines, incorporating RAG Agents, Researcher, Orchestrator, and Planner Agents, significantly enhancing the efficiency and performance of agent-based workflows.• Cross-Functional Collaboration: Working closely with cross-functional teams to address enhancement requests for deployed pipelines, ensuring seamless integration and continuous improvement in operational efficiency.• AI System Feature Development: Driving the innovation of new features and upgrades to AI systems, leveraging state-of-the-art machine learning techniques to align with dynamic project needs and industry trends.• Timely Enhancement Delivery: Ensuring the timely execution of enhancements in response to internal and customer-driven requests, demonstrating adaptability and a solution-focused mindset to deliver exceptional results.
Education
Indraprastha Institute of Information Technology, Delhi
Master of Technology - MTech, Artificial intelligence
COER University
Bachelor of Technology (B.Tech), Computer Science and Engineering
2015 — 2019
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