• Founded Orbyte.ai with a vision to revolutionize document management through AI. Led the company from concept to reality, driving product development, market positioning, and operational strategy. Oversaw the creation of Orbyte.ai's flagship products, delivering innovative AI- driven solutions with a 70% reduction in development cycle time.• Served as the lead architect in developing advanced AI models and infrastructure, ensuring scalable, high-performance solutions with 99.99% uptime. Focused on integrating natural language processing and machine learning to achieve 95% accuracy in document analysis during pilot projects.• Built and nurtured a cross-functional team of professionals, establishing a culture of innovation, agility, and excellence. Implemented mentorship programs that boosted team productivity by 30% and reduced development timelines.• Actively participated in client interactions, pilot program pitches, and product demonstrations, effectively communicating Orbyte.ai's value proposition to potential clients. Led a successful pitch to venture capitalists during a simulated program, resulting in valuable feedback and potential future investment discussions.• Conducted strategic market research to identify key industry pain points, directly informing product features and positioning. Transformed insights from industry professionals into actionable strategies that enhanced product-market fit and readiness for full-scale deployment.• Engaged with venture capitalists and industry leaders through pitch programs, honing skills in investor relations and strategic communication. Positioned Orbyte.ai for future funding opportunities by building a strong network and presenting a compelling growth narrative.

• Developed innovative solutions and delivered actionable insights for accounting and corporate governance projects, resulting in a 20% reduction in audit findings.• Increased research prediction accuracy by 15% through advanced data modeling techniques.

• Earned the prestigious 3rd Best Maintenance Officer ranking out of 33.5k employees for exceptional performance during the year 2020-21.• Integrated Machine Learning algorithms for predictive maintenance (PDM), resulting in a 20% reduction in unplanned downtime and a 15% increase in equipment lifespan.• Led automation integration with ERP systems, enhancing operational efficiency by 20%, reducing manual processing errors by 25%, and improving data accuracy by 30%, which resulted in a 15% overall improvement in workflow productivity.• Leveraged Big Data analytics tools and data visualization platforms such as Tableau and Power BI to streamline the supply chain, resulting in a 14.75% rise in volume exported and a 7.14% increase in volume delivered through tank trucks. Achieved an annual throughput of 215 Thousand Kilolitres (TKL) for export, 56.4 TKL for OMC, and 400 TKL for retail during FY 2021-2022, enhancing overall operational efficiency and reducing logistics costs by 15%.

• Spearheaded the preparation of capital and revenue expenditures for 3+ new projects, securing management approvals and overseeing manpower and resource planning, resulting in a 15% improvement in project cost control.• Successfully managed a diverse portfolio of international customers from Nepal and Bhutan, along with 4+ Oil Marketing Companies (OMCs), and served over 200 retail customers, maintaining a client satisfaction rate of 98%.• Demonstrated outstanding compliance efforts, achieving 95.56/100 in the Maintenance & Inspection (M&I) Index by fulfilling 69 out of 73 pending Environmental, Safety, and Health (ESA) points, and maintained a Quality Control (QC) and Safety Index of 98/100 through active participation in factory inspections conducted by statutory bodies.• Led the training and certification of 200+ POL truck drivers, 40+ blue-collared workers, and 100+ contractual workers in POL handling, following SOPs under the esteemed Pradhan Mantri Kaushal Vikas Yojana (PMKVY) initiative.

• Utilized advanced statistical techniques, including ML and AI algorithms, for comprehensive descriptive, predictive, and prescriptive analysis to validate data and drive data-driven decision-making.• Presented data-driven insights and findings to optimize strategies and enhance operations for prominent clients, including iRobot, Starbucks, Kohl's, Sears, and more than 10 multinational corporations, resulting in an average client satisfaction rate of 95%.• Conducted trend analysis and hypothesis testing, employing sophisticated ML and AI models to identify valuable patterns and make data-driven recommendations that led to a 20% increase in operational efficiency for clients.• Leveraged cutting-edge data visualization tools such as Tableau, Power BI, and advanced Excel techniques to create visually impactful presentations, improving data clarity and understanding, leading to a 30% reduction in decision-making time for clients.• Demonstrated expertise in data screening and cleaning using Python, SQL, R, and advanced Excel, resulting in a 98% accuracy rate in data integrity and a 25% improvement in data processing efficiency.

I have worked as an industrial trainee at Balmer Lawrie & Co. Ltd. on inspection of steel body sheets and barrel production. Where my role was to inspect steel sheets coming to the factory from the market and maintaining certain conditions of temperature and pressure and while rolling steel sheets into barrels, managing stocks and preparing an EOQ model.