Jul 2024 – Sep 2025 · 1 yr 2 mos · On-site

• Leading a multifaceted team across Data Science, Recommendations, and Large Language Models (LLM) to drive data-driven marketing and operational efficiency in e-commerce.
• Data Visualization & POS Insights: Spearhead data visualization efforts and extract actionable insights from POS data to empower the marketing team with data-driven strategies. Regularly share insights on customer behavior and sales trends, guiding targeted marketing initiatives.
• Data-Driven Marketing: Enable marketing teams to leverage data for campaign decisions, using trend detection and time series analysis. Support initiatives with precise consumer behavior insights and seasonal forecasts to improve campaign relevance and ROI.
• Personalized Recommendations: Lead the recommendation team to develop strategies for personalized customer recommendations based on buying patterns, geolocation, and various methodologies, enhancing customer engagement and sales.
• LLM Application Development: Oversee the development and deployment of Large Language Model (LLM) applications for marketing and helpdesk support across warehouse locations, enhancing customer service and streamlining operations.
• Continuous Improvement & Cross-Functional Collaboration: Manage ongoing improvements of LLM applications, refine recommendations, and collaborate closely with marketing, technical, and operational teams to align on business objectives and deliver optimal solutions.

May 2024 – Aug 2025 · 1 yr 3 mos · Kathmandu, Bāgmatī, Nepal · Remote

• Serve as an AI consultant for a leading AI-based marketing company, leveraging advanced data analytics and machine learning techniques to optimize marketing strategies.
• Collaborate with cross-functional teams to develop and implement AI-driven solutions that enhance customer engagement, improve targeting, and increase conversion rates.
• Analyze large datasets to extract actionable insights, providing data-driven recommendations that align with business goals and marketing objectives.
• Stay abreast of the latest trends in AI and machine learning, applying this knowledge to improve existing models and suggest innovative approaches to marketing challenges.
• Conduct training sessions for internal teams on the effective use of AI tools and technologies, fostering a culture of data literacy within the organization.

Jul 2022 – Aug 2024 · 2 yrs 1 mo · San Francisco, California, United States · Hybrid

• Led the Data Science team in designing and developing architecture and AI-driven solutions, contributing to projects across various domains.
• Designed and developed cutting-edge AI solutions for Augmented Reality (AR), Virtual Reality (VR), and game development, advancing the company's product offerings in immersive technologies.
• Acted as the lead research scientist for developing algorithms and working extensively with 3D data, enabling more sophisticated data-driven capabilities within AR/VR.
• Collaborated with cross-functional teams and company executives to plan, strategize, and successfully execute AI-driven software solutions, ensuring alignment with business objectives.

Jun 2021 – Aug 2025 · 4 yrs 2 mos · Libali, Bhaktapur

• Supervised final year engineering students in their capstone projects, focusing on Generative Adversarial Networks (GANs) and various Deep Learning applications.
• Provided guidance on project design, methodology, and implementation, ensuring students adhered to best practices in machine learning and AI development.
• Facilitated workshops and discussions to deepen students' understanding of advanced AI concepts, fostering a collaborative and innovative learning environment.
• Reviewed and assessed project outcomes, offering constructive feedback and mentoring students through the challenges of complex AI projects.

Apr 2021 – Sep 2022 · 1 yr 5 mos · Kathmandu, Bāgmatī, Nepal · On-site

• Led a team focused on developing advanced vision capabilities for Mina, an innovative robot project aimed at enhancing autonomous operations and interactions.
• Collaborated closely with renowned innovator Mahabir Pun, leveraging expertise in AI and computer vision to drive the project forward and achieve significant technological milestones.
• Designed and implemented machine learning algorithms to improve the robot’s perception and decision-making abilities, ensuring robust performance in diverse environments.
• Mentored junior researchers and engineers, fostering skill development and promoting best practices in AI and computer vision methodologies.
• Conducted research to explore new techniques in computer vision, contributing to the advancement of robotic technologies and their applications.

May 2018 – Present · 8 yrs · Kathmandu,Nepal

• Develop and deliver comprehensive courses in AI, Deep Learning, and Data Science, focusing on practical applications and hands-on learning experiences for students.
• Design and implement engaging curricula that incorporate the latest trends and technologies in artificial intelligence, ensuring students gain relevant skills and knowledge for the industry.
• Mentor and guide students through complex projects, providing support in understanding advanced concepts and fostering a collaborative learning environment.
• Evaluate and assess student progress, offering constructive feedback to enhance their learning experience and facilitate skill development.
• Collaborate with other educators and industry professionals to continuously improve course content and delivery methods, keeping programs aligned with industry standards and best practices.

Apr 2018 – Jun 2025 · 7 yrs 2 mos · Kathmandu District, Nepal · Hybrid

• Led a college bootcamp dedicated to AI and Data Science, focusing on equipping participants with the skills needed to excel in data-driven environments.
• Trained government officers on effective data-driven decision-making techniques, enhancing their ability to leverage data for improved policy-making and operational efficiency.
• Developed and delivered training programs for college teachers, aimed at enhancing their teaching skills and integrating data science concepts into their curricula.
• Created interactive workshops and hands-on sessions to foster engagement and practical learning, ensuring participants could apply their new skills effectively in real-world scenarios.
• Collaborated with educational institutions to promote the importance of AI and data literacy, encouraging the adoption of modern teaching methodologies.

Nov 2017 – Present · 8 yrs 6 mos · Kathmandu, Bāgmatī, Nepal

• At DeepMind Creations, we are a forward-thinking startup leveraging Data Science, Machine Learning, Computer Vision, and Language Models to address complex real-world problems. Our expertise spans across industries, providing tailored solutions that push the boundaries of AI technology and enhance user experiences.
• AI-Driven Solutions: We design and deploy deep learning applications for computer vision and other AI domains that ensure high performance, scalability, and seamless user experiences.
• Language Models for Problem Solving: Our team now integrates advanced language models to tackle a variety of Data and AI-based challenges, enabling us to process and understand vast datasets, automate complex tasks, and derive insights that drive decision-making.
• Cross-Disciplinary AI Teams: We lead teams in AI, data science, software development, and testing, consistently developing solutions that meet the highest standards in functionality and performance.
• Technology Consulting and Strategy: We collaborate with internal and third-party teams to advise on technology strategy, application development, and innovation, while ensuring seamless communication of technical solutions to non-technical stakeholders.
• Architectural and Technical Expertise: Our team designs innovative architectures to meet client requirements, translating complex technical issues into easily understandable solutions for business executives.
• Client-Centric AI Solutions: We actively engage with customers to understand their unique requirements and challenges, crafting AI and data-driven solutions that directly address their needs and drive meaningful outcomes.

May 2014 – Feb 2017 · 2 yrs 9 mos · Remote

• Developed full-stack web applications using Django (Python) and PHP, integrating frontend technologies like HTML, CSS, JavaScript, and Bootstrap for responsive design.
• Built and maintained database-driven applications using MySQL, PostgreSQL, and MongoDB, optimizing queries and ensuring data integrity.
• Led the development of custom CRM and e-commerce platforms, implementing features such as user management, order processing, and real-time dashboards.
• Collaborated on early-stage machine learning projects involving natural language processing (NLP) and computer vision, integrating ML models into production-grade systems.
• Delivered robust backend solutions with RESTful APIs, authentication systems, and role-based access control.
• Maintained version control using Git and deployed applications on cloud-based and traditional hosting environments.