Anil Bandhakavi

Experienced AI Leader with a PhD in NLP and AI, with over 8 years of experience in AI startups and scale-ups.
Expertise in deploying advanced AI techniques, including LLMs, Generative AI, and knowledge graphs to solve
complex business challenges. Proven track record in launching novel AI products, leading cross-functional teams,
and driving AI strategy that aligns with business goals, resulting in significant growth and operational efficiency.

Oct 2023 — Present Director of AI Solutions and Research, Logically London
• Spearheaded a multidisciplinary team of product managers, UX designers, data scientists, and engineers
to develop and launch an AI-driven B2B SaaS product, enhancing misinformation discovery by 50% for
Social media platform customers.
• Directed a Gen AI research team, leading to a 12% improvement in counter-speech generation efficacy,
with findings presented at prestigious conferences such as ACL and NAACL.
• Led the development of AI technologies for mitigating behavior and content-based harms, achieving a 20%
improvement in disinformation detection and reporting efficiency in B2B SaaS products for Govt and Enterprise Clients.
• Led technology due diligence as part of the corporate development team, assessing AI capabilities of prospective acquisitions. This led to the successful acquisition of an AI research company focused on
combating online harms using AI to enhance Logically's competitive advantage.

Sep 2019 — Oct 2023 Head of Data Science, Logically London
• Managed a team of over 20 data scientists and engineers, optimizing NLP, computer vision, and MLOps
processes, resulting in a 35% boost in product efficiency and a 20% increase in user satisfaction for B2B
and B2C products.
• Contributed to M&A activities by evaluating AI/IP assets and the technical scalability of target companies.
Supported strategic decisions that culminated in the successful acquisition of a social data company to
bolster the ability of the company to harness big data for enhanced analytics.
• Supervised data science teams in global AI competitions for automated fact-checking, securing top
leaderboard positions, and demonstrating the company’s AI leadership.
• Pioneered a proprietary human-in-the-loop AI framework; honored with the NATO Best Paper Award.
• Authored the company’s first case study on AI Assurance in the CDEI OECD catalog in the UK,
contributing to global AI policy discussions.
• Coordinated and Spearheaded internal AI hackathons with 50+ participants resulting in novel
human-in-the-loop AI solutions that improved misinformation signal detection efficacy by 15%.

Oct 2018 — Sep 2019 Senior Data Scientist, Logically London
• Built a cutting-edge AI system integrating expert oversight, enhancing live fact-checking efficiency by 45%
and accuracy by 30% when applied during US 2020 presidential debate monitoring.
• Created high-precision machine learning services to process data streams providing entity sentiment and
narrative analysis insights that resulted in a 30% increase in the accuracy of insights on misinformation
trends for B2C users.

Feb 2017 — Sep 2018 Lead Data Scientist, SentiSum London
• Developed a sophisticated data sampling pipeline in Python, optimizing topic classification and sentiment
analysis, achieving a 12% improvement in ML classifier benchmarking and evaluation methodologies.
• Designed and integrated robust ML solutions for entity extraction and sentiment analysis, elevating the
quality of CX analytics by 20% and reducing decision cycle time by 15% for customers across retail, e-commerce, and travel industries.

Oct 2012 — May 2017 PhD, Robert Gordon University,  Aberdeen, UK