Mar 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

• Roles & Responsibilities:
• Lead the research, design, and development of cutting-edge generative AI solutions, including large language models (LLMs), multimodal AI systems, and AI-powered automation tools.
• Drive innovation in natural language processing (NLP), computer vision, and deep learning applications, delivering scalable AI prototypes and production-ready solutions.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define AI product roadmaps and technical strategies.
• Evaluate and integrate state-of-the-art AI frameworks, libraries, and APIs to enhance model performance and efficiency.
• Establish best practices for model development, fine-tuning, prompt engineering, and responsible AI deployment, ensuring compliance with ethical and security standards.
• Mentor and guide junior researchers and engineers, fostering a culture of innovation and continuous learning within the R&D team.
• Stay abreast of industry trends, emerging technologies, and AI research publications, translating insights into practical solutions that drive business impact.
• Collaborate with clients and internal stakeholders to identify AI use cases, define success metrics, and deliver proof-of-concepts that demonstrate value.

Aug 2024 – Present · 1 yr 9 mos · United States · Remote

• Core Responsibilities:
• Data-Centric Strategy: Architect data-driven strategies aligned with startup's vision.
• Kaggle Expertise: Leverage deep knowledge of Kaggle datasets and competitions.
• Model Development and Deployment: Build and optimize predictive models for rapid iteration.
• Business Impact Maximization: Drive data-informed decision-making and revenue growth.
• Team Empowerment: Mentor data teams and foster a data-driven culture.
• Key Outcomes:
• Accelerated product development through data insights.
• Enhanced startup valuation and investor attraction.
• Proven ability to scale data initiatives.
• Successful track record of mentoring US startups.

Apr 2024 – Oct 2024 · 6 mos · Gurugram, Haryana, India · Remote

• Leading AI Innovation at NiVa: Building the Future, together.
• Role: Consultant Director - AI & ML
• Responsibilities:
• 1. Manage and lead the development and execution of the company's AI & ML strategy, projects and teams aligning it with overall business goals.
• 2. Oversee the recruitment, management, and development of a high-performing AI & ML team.
• 3. Drive the identification and implementation of innovative AI & ML solutions to solve complex problems and create business value.
• 4. Ensure the responsible and ethical development and deployment of AI models.
• 5. Navigate a culture of collaboration between AI & ML teams and other departments.
• 6. Research and Development of AI advancements.
• As the Director of AI & ML, I am dedicated to driving innovation and excellence in our AI and ML initiatives, contributing to the success and growth of the company.

Oct 2023 – Present · 2 yrs 7 mos · Bengaluru, Karnataka, India · Hybrid

• AI Researcher | Generative Pre-Trained Transformers (GPTs) & Multi-Modal LLMs
• I design and develop next-generation Generative AI models applications with Gemma, Gemini, GPT-4, Mistral, LLaMa etc pushing the boundaries of language understanding and creation using GCP and AWS.
• My expertise lies in crafting Large Language Models (LLMs) that can process and generate not just text and code, but even images! Through my research, I'm shaping the way we communicate, create art, and leverage technology.
• Mentoring Start-Ups in the field of Artificial Intelligence and Generative Artificial Intelligence.
• Training corporate employees and teams in the domain of Machine Learning, Generative Artificial Intelligence, LLM's and Multi-modal approaches with clouds like GCP and AWS.
• Key Skills:
• Generative Pre-Trained Transformers (GPTs)
• Large Language Models (LLMs)
• Multi-Modal Learning and Development
• Natural Language Processing (NLP)
• Generative Artificial Intelligence (GenAI)

Jul 2023 – Present · 2 yrs 10 mos · Bengaluru, Karnataka, India · Hybrid

• Role:
• Core Team Member
• Responsibility:
• Program Management
• Organizing seasons of Code Vipassana
• Sometime speaker as well 😅

Jul 2023 – Nov 2023 · 4 mos · India · Remote

Sep 2022 – Nov 2025 · 3 yrs 2 mos · Bengaluru, Karnataka, India

• Machine Learning and Artificial Intelligence Contributor
• ExploreML with CrowdSource Influencer
• Teaching how CrowdSource and Machine Learning work
• CrowdSource Community Lead

Jul 2022 – Apr 2024 · 1 yr 9 mos · Bengaluru, Karnataka, India

• Machine Learning and Artificial Intelligence Contributor
• ExploreML with CrowdSource Influencer
• Teaching how CrowdSource and Machine Learning works
• CrowdSource Community Lead

Sep 2022 – Oct 2023 · 1 yr 1 mo · Mumbai, Maharashtra, India · Hybrid

• Technical Specialists and Domain Facilitators for the Full Stack Development and AWS Cloud Services.
• Product Development
• Platform Development
• Handling Data Studio for the Organization
• Platform Development (Internal Use)
• Doing research for Machine Learning and Artificial Intelligence

Feb 2022 – Aug 2022 · 6 mos · Bengaluru, Karnataka, India · Hybrid

• At this Stealth Start-Up:
• Innovated AI algorithms to drive key product advancements.
• Conducted pioneering research and experiments in emerging technologies.
• Collaborated with cross-functional teams to integrate research findings into practical applications.
• Authored detailed documentation.
• Spearheaded data analysis and prototyping to validate new concepts.

Dec 2021 – Jan 2022 · 1 mo · Ahmedabad, Gujarat, India

• Planned and Worked on a migration project for Machine Learning
• Lead Data Scientist and Machine Learning Engineer
• Worked with AWS, Lambda Function Facility and SageMaker

Aug 2021 – Nov 2021 · 3 mos · Anand, Gujarat, India

• At KPMG, I got a chance to work on a real-world problem as a part of their Data Analytics Virtual Experience Program. We as a team, worked on gathered data to get insights and to present to the concerned client about their performance in specific regions.

Feb 2021 – Mar 2021 · 1 mo · Remote

• At The Sparks Foundation, I've participated in a Month-long project-based internship where the team had worked on a Machine Learning Project to predict the success score of the campaign with relevant data.

Nov 2020 – Nov 2021 · 1 yr · Anand, Gujarat, India

• Machine Learning Engineer
• Research Work to enhance the existing Machine Learning Production
• Developed a pipeline to stream, extract, transform and loading the data into target database

Jun 2019 – Aug 2019 · 2 mos · Ahmedabad Area, India

• As a College Intern, I was working at WebOrion Software Solutions for Front-End Web Development and Penetration Tester along with Data Pipeline creation and maintenance.