Dimpy Varshni

AI Researcher

Bengaluru, Karnataka, India3 yrs 10 mos experience

Highly StableAI Enabled

Key Highlights

Expert in Generative AI and Deep Learning.
Proven track record in developing scalable AI solutions.
Strong leadership in cross-functional AI initiatives.

Stackforce AI infers this person is a skilled AI/ML professional specializing in Generative AI and Deep Learning.

Contact

Skills

Core Skills

Generative AiDeep LearningMachine Learning

Other Skills

Large Language Models (LLM)Vision Large Language ModelsRetrieval-Augmented Generation (RAG)AI AgentsLangGraphLLM fine-tuningLangChainSemantic KernelRAG AgentsApplied Machine LearningPyTorchFlaskNatural Language Processing (NLP)Python (Programming Language)Small Language Models

About

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

3 yrs 10 mos

Total Experience

1 yr 11 mos

Average Tenure

Current Experience

Accenture

AI/ML Computational Science Specialist

Jul 2024 – May 2025 · 10 mos · Bengaluru, Karnataka, India · On-site

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.

Large Language Models (LLM)Vision Large Language ModelsRetrieval-Augmented Generation (RAG)AI AgentsLangGraphLLM fine-tuning+4

Qualcomm

Machine Learning Engineer

Jul 2021 – Jul 2024 · 3 yrs · Hyderabad, Telangana, India · On-site

Optimization Leadership: Spearheaded the optimization initiatives for deep learning models in the core DSP/HTP Snapdragon QNN team, enhancing model performance and ensuring precision in customer-specific applications.
Customer-Centric Feature Integration: addressed customer feature requests, driving the integration of key enhancements that significantly boosted accuracy for SOCS, demonstrating a proactive and adaptable approach to meet evolving market demands.
Innovation through Hackathons: Led the successful implementation of a streamlined process for internal hackathons, fostering creativity and cross-functional collaboration. This initiative resulted in the generation of cutting-edge solutions and fresh ideas, contributing to the team's ongoing growth and future projects.

Ibm

Machine Learning Intern

Jan 2021 – Jul 2021 · 6 mos · Bangalore Urban, Karnataka, India · On-site

Spearheaded the development of a robust, end-to-end deep learning product, applying cutting-edge AI techniques to solve complex problems and optimize processes. Led engaging machine learning and Python programming workshops for new team members, enhancing their technical skills and fostering a collaborative learning environment.
Contributed to designing innovative algorithms that accelerated the performance of deep learning models, demonstrating a keen understanding of AI technologies and their practical applications.
Actively collaborated with cross-functional teams, driving efficiency and ensuring the seamless integration of machine learning components into larger system architectures.

Deep LearningApplied Machine LearningPyTorchFlaskNatural Language Processing (NLP)Generative AI+2