Oct 2023 – Present · 2 yrs 7 mos · India · Remote

• Guest professor for Work integrated learning programs. Probablistic Graphical models and Computational Learning Theory

Jun 2021 – Jun 2022 · 1 yr · Tromsø, Troms og Finnmark, Norway · On-site

• Led comprehensive communication strategy and digital engagement initiatives for the university's PhD association, enhancing visibility and fostering stronger connections within the academic community.
• Key Responsibilities & Achievements:
• Strategic Communication Leadership: Served as primary communication liaison for TODOS PhD association, managing all external and internal communications to strengthen community engagement and academic collaboration
• Digital Platform Management: Maintained and optimized online presence across multiple channels including Facebook, official website, and digital information materials, ensuring consistent brand messaging and up-to-date content delivery
• Stakeholder Engagement: Facilitated effective communication between TODOS members, university administration, and external academic partners, improving information flow and collaborative opportunities
• Content Strategy & Development: Created and curated engaging content for various communication channels, increasing member engagement and association visibility within the university community
• Information Architecture: Established systematic processes for information dissemination, ensuring timely updates and accessibility of important announcements and resources for PhD community
• Impact: Successfully enhanced TODOS' digital presence and communication effectiveness, contributing to improved member engagement and stronger institutional relationships during a critical period of academic community building.

Jun 2019 – Present · 6 yrs 11 mos · Tromsø, Troms og Finnmark, Norway · On-site

• Conducted cutting-edge research in AI-driven behavioral intervention systems, developing innovative data analysis techniques for smart nudging applications focused on promoting healthy lifestyle behaviors and increasing physical activity engagement.
• Research Achievements:
• Smart Nudging Framework Development: Designed and implemented comprehensive data analysis techniques for intelligent behavioral intervention systems, leveraging machine learning to promote healthy lifestyle adoption and sustained physical activity engagement
• IoT Data Infrastructure: Architected and developed robust data collection and processing systems for Apple smartwatch ecosystem, enabling real-time health monitoring and personalized activity recommendations at scale
• Predictive Analytics Models: Created advanced machine learning models for smartwatch data analysis, delivering personalized activity suggestions that demonstrated significant improvements in user physical activity levels
• Academic Publication: Authored comprehensive thesis research documenting novel data analysis methodologies for smart nudging, including experimental validation and performance evaluation of behavioral intervention algorithms
• Research Impact: Published findings contributing to the intersection of AI, behavioral science, and health informatics, advancing understanding of technology-mediated lifestyle interventions
• Teaching Excellence:
• Database Systems (INF-2700): Teaching Assistant for 4 semesters (2020-2022), mentoring students in advanced database design, query optimization, and data management principles
• Computer Security (INF-2310): Teaching Assistant for 4 semesters (2021-2023), guiding students through cybersecurity fundamentals, threat analysis, and security protocol implementation

May 2018 – Jul 2019 · 1 yr 2 mos · Chennai, Tamil Nadu, India · On-site

• Led advanced analytics and machine learning initiatives for cybersecurity threat detection, developing innovative data science solutions that enhanced organizational security posture and threat intelligence capabilities.
• Key Responsibilities & Achievements:
• Cybersecurity Analytics Leadership: Analyzed complex security logs to extract critical features and patterns for advanced threat correlation and detection, improving security monitoring effectiveness across enterprise systems
• Advanced Threat Detection Models: Developed sophisticated use cases leveraging machine learning and statistical techniques to identify emerging cybersecurity threats and generate actionable intelligence for security operations teams
• Innovation & Thought Leadership: Provided creative and innovative data science solutions, serving as technical thought leader for cybersecurity analytics initiatives and emerging threat detection methodologies
• Proof of Concept Development: Designed and implemented cutting-edge threat hunting and detection workflows, creating scalable prototypes that demonstrated significant improvements in security incident response capabilities
• Team Development & Mentoring: Mentored cross-functional team members in advanced data science methodologies, fostering knowledge transfer and building organizational analytics capabilities.
• Architecture & Model Design: Architected robust data science models and end-to-end analytics solutions, ensuring scalability and performance for real-time threat detection applications.
• Ensemble Learning Innovation: Designed and deployed advanced ensemble learning models for automated anomaly detection in log data, achieving significant improvements in threat identification accuracy and reducing false positive rates.
• Technical Impact: Successfully delivered production-ready cybersecurity analytics solutions that enhanced threat detection capabilities and provided critical insights for security operations teams.

Sep 2017 – May 2018 · 8 mos · Taipei, Taipei City, Taiwan · On-site

• Conducted cutting-edge research in computer vision, natural language processing, and deep learning at Taiwan's premier academic research institution, contributing to breakthrough developments in AI and machine learning applications.
• Research Contributions & Achievements:
• Natural Language Understanding: Created innovative statistical natural language processing system using neural networks, enabling intelligent command interpretation and autonomous block arrangement in virtual environments
• AI Agent Development: Designed and developed deep learning models for simulating intelligent agents in complex negotiation scenarios, advancing research in multi-agent systems and strategic AI behavior
• CNN Architecture Research: Conducted comprehensive exploration and performance analysis of various Convolutional Neural Network architectures, optimizing model design for specific computer vision applications
• Cross-disciplinary Research: Collaborated with international research teams on projects spanning computer vision, NLP, and reinforcement learning, contributing to multiple research publications and academic conferences
• Algorithm Optimization: Implemented and benchmarked cutting-edge machine learning algorithms, providing critical insights for advancing the field of artificial intelligence and computer vision
• Research Impact: Contributed to foundational research that advanced understanding of computer vision, natural language processing, and AI agent behavior, with applications in robotics, autonomous systems, and human-computer interaction.

Oct 2016 – Aug 2017 · 10 mos · Chennai Area, India · On-site

• Led comprehensive data analytics initiatives and business intelligence solutions, transforming complex datasets into actionable insights that drove strategic decision-making and operational excellence across the organization.
• Key Responsibilities & Achievements:
• Advanced Statistical Analysis: Conducted sophisticated data interpretation and analysis using advanced statistical techniques, delivering comprehensive reports that informed critical business decisions and strategic planning initiatives
• Data Infrastructure Development: Designed and implemented robust data collection systems and optimization strategies, significantly improving statistical efficiency and data quality across organizational datasets
• Data Engineering & Management: Managed end-to-end data lifecycle including acquisition from primary and secondary sources, database maintenance, and data system optimization for enhanced performance and reliability
• Pattern Recognition & Insights: Identified and analyzed complex trends and patterns in large-scale datasets, uncovering valuable business insights that drove revenue growth and operational improvements
• Strategic Business Partnership: Collaborated closely with senior management to prioritize business and information needs, aligning data science initiatives with organizational objectives and strategic goals
• Process Optimization: Identified and defined new process improvement opportunities through data-driven analysis, leading to enhanced operational efficiency and cost reduction initiatives
• Reporting & Visualization: Created dynamic reporting systems and data visualizations that enabled stakeholders to make informed decisions based on real-time insights and predictive analytics
• Business Impact: Successfully delivered data-driven solutions that improved decision-making processes, identified cost-saving opportunities, and enhanced operational efficiency across multiple business functions.

Apr 2014 – Sep 2016 · 2 yrs 5 mos · chennai · Hybrid

• Delivered comprehensive data analytics and business intelligence solutions in a hybrid work environment, establishing foundational expertise in statistical analysis and data-driven decision making that supported organizational growth and operational efficiency.
• Key Responsibilities & Achievements:
• Statistical Analysis & Reporting: Conducted thorough data interpretation and analysis using advanced statistical methodologies, generating ongoing reports that provided critical insights for strategic business planning and performance optimization
• Data Systems Architecture: Developed and implemented efficient data collection systems and optimization strategies, enhancing statistical efficiency and establishing robust data quality standards across organizational processes
• Database Management Excellence: Successfully acquired, integrated, and maintained data from diverse primary and secondary sources, ensuring reliable database systems and seamless data accessibility for analytical initiatives
• Trend Analysis & Pattern Recognition: Identified and interpreted complex trends and patterns within large-scale datasets, delivering actionable insights that informed business strategy and operational improvements
• Data Quality & Integrity: Implemented comprehensive data cleaning and validation processes, systematically reviewing computer reports and performance indicators to ensure accuracy and resolve data inconsistencies
• Strategic Business Collaboration: Worked closely with management teams to understand and prioritize critical business and information requirements, aligning analytical efforts with organizational objectives
• Hybrid Work Excellence: Successfully delivered consistent analytical results in a hybrid work environment, demonstrating adaptability and strong remote collaboration skills
• Professional Development: Built foundational expertise in data analytics that established the pathway for advanced career progression in data science and AI applications.