Jun 2024 – Dec 2024 · 6 mos · On-site

• Leading AI strategy across a portfolio of startups, driving innovation, boosting revenue and operational efficiency.
• ● Reporting directly to the COO, ensuring alignment of AI initiatives with overall business goals & strategic objectives for max impact.
• ● Led LLM and image model fine-tuning, enhancing model performance and driving a 30% increase in operational efficiency.
• ● Developed and implemented enhanced prompt engineering and evaluation strategies, improving AI output accuracy by 25%

Jan 2022 – Jun 2024 · 2 yrs 5 mos · London, England, United Kingdom · Hybrid

• Winner of Deloitte Hackathon (North & Southern Europe) : GenAI products & Strategy
• GenAI Prototype Development: Pioneered the development of a Generative AI prototype, utilizing OpenAI services. This initiative has been instrumental in demonstrating the practical applications of AI in enhancing business processes and client engagement strategies.
• LLM-based Contract Management Tool: Played a pivotal role in creating a Language Model-based contract management tool. This innovation led to a significant reduction in support costs by 40%, marking a milestone in operational efficiency and cost-effectiveness.
• EnterpriseGPT Integration: Successfully engineered and integrated EnterpriseGPT, combining Azure and OpenAI services. This integration has been pivotal in revolutionizing content generation and search capabilities, thereby enhancing user experience and business process optimization.
• Thought Leadership in AI: Co-authored an insightful white paper on the role of Generative AI in the Software Development Life Cycle (SDLC), underscoring its potential to redefine traditional development methodologies and contribute to the evolution of software engineering.

Jun 2021 – Jan 2022 · 7 mos

• Startup CEO Engagement: Actively interacted with startup CEOs, understanding their unique challenges and technological needs. This involved providing expert guidance on integrating AI and ML solutions into their business models, thereby enhancing their operational efficiency and market competitiveness.
• Innovation & Strategy Consultation: Offered strategic consultations to startup leaders, focusing on how to leverage intelligent automation for scaling their businesses. This process included evaluating their current technology stack and recommending AI-driven improvements to optimize performance and drive growth.
• Building Synergies: Facilitated the building of synergies between startups and EY, leveraging my expertise in AI and ML to identify potential areas of collaboration. This not only provided startups with access to EY's vast resources and expertise but also enriched our understanding of emerging market trends and innovative business models.
• AI/ML Supply Chain Optimization: Spearheaded AI and ML initiatives for supply chain optimization, which played a pivotal role in enhancing operational efficiency and achieving substantial cost savings. These projects were instrumental in demonstrating the practical benefits of AI-driven automation in complex supply chain networks.

Sep 2019 – Jun 2021 · 1 yr 9 mos

Jan 2019 – Sep 2019 · 8 mos

Jul 2017 – Dec 2018 · 1 yr 5 mos · United States · Remote

• Worked on creating high frequency trading bots based on arbitrage and event driven algorithms

Mar 2017 – Apr 2018 · 1 yr 1 mo · Greenville-Spartanburg-Anderson, South Carolina Area, United States · On-site

Oct 2016 – Feb 2017 · 4 mos · Bengaluru Area, India

Jan 2016 – Sep 2016 · 8 mos · Berlin Area, Germany

• Bachelor thesis