Manish Kumar Singh Email & Phone Number

Irvine, California, United States

San Diego, California, United States

• Liaised with organization’s C-Suite to devise, develop and deploy product growth and GTM strategies for Zebit’s diverse portfolio~ $120 M for customers, collaborating with stakeholders and project management team to plan and execute product roadmap and smooth delivery cadence.• Managed full software development life cycle, IT Ops and DevOps, optimizing multiple process to reduce redundancy / SLAs.• Led the backend web services team with hands-on experience in designing the architecture and APIs in C#.Net and implementing cost-effective data tiers that enabled a reduction of 10% monthly data storage costs.• Led the full migration of production application infrastructure into EKS using Gitlab pipelines for scalability and reducing deploy time by over 75%.• Rearchitected the backend service API infrastructure between public and private APIs to enhance application security and reduce attack surface.• Worked closely with the Data Science team to define processes and update data pipelines, to reduce predictive model deployment lifecycle from 2 months to less than 3 weeks.• Managed the production application cloud infrastructure in AWS while enhancing real-time application performance metrics in cloud watch and new relic.• Built and mentored a high-performing engineering team with a passion for fostering engineer growth and career development.

San Diego, California, United States

• As a cofounding engineer, led onshore and offshore teams at Zebit, to design secure, scalable platforms encompassing customized e-commerce platform (Magento), payment processor, account management, and registration with real-time credit and fraud risk assessment in PHP.• Executed the technical roadmap, integrating products and platforms while ensuring a balance between speed-to-market, scalability, and differentiation. • Collaborated with the Data Science team to architect and implement the registration and underwriting service in C#.net, integrating with multiple 3rd party data providers and real time underwriting models to evaluate credit and fraud risk.• Led the architecture and development of the custom payment processor for recurring transactions processing up to $500,000 daily against a payment gateway in PHP.• Implemented the financing and checkout service in C#.net for the e-commerce platform handling up to $1 million sales in a day.• Collaborated with team members to enable customized financing options for customers in Zebit Marketplace, a customized Magento-based e-commerce platform.• Implemented the backend admin website using NuxtJS (Vue) to expose customer and order data and enable modification operations for customer service and fraud ops teams.

San Diego, California, United States

• Collaborated with leadership to design short and long-term analytics strategies, define KPIs, and assess data assets that served as the basis of the credit policy for the organization. • Conducted in-depth univariate/multivariate data analysis, generating rule-based decisions that enabled customers’ credit risk evaluation at registration and point of sale.• Oversaw the development of linear and non-linear models, optimizing data preprocessing, while managing data flows, data security, model deployment, and ensured ongoing optimization.• Introduced a comprehensive customer lifetime value model, influencing strategic decisions regarding acquisition channels, data sources and underwriting flow enhancement.

Chennai, Tamil Nadu, India

• Worked closely with the Data Science team to implement real time variables calculation, model scoring for short-term lending product; developed processes and changed architecture to minimize the model development – implementation life cycle.• Led a team of 8 engineers to develop, implement, and deploy the custom payment system for WorkPaysMe, a US-based retail E-commerce site with financing options in PHP, while working closely with stakeholders.• Led the team in designing the initial system architecture for Perchline, an E-commerce platform, working with US stakeholders.• Led a team of 5 engineers to implement the initial underwriting and e-commerce platform for Zebit while creating the core framework for the payment system in PHP.

Bengaluru Area, India

• Led a 3-member team in developing Kaamyaabi.com, a Django-based job portal for freshers, featuring skill assessments and streamlined job applications.• Created a versatile question bank and testing platform with rating and tagging capabilities.• Developed an internal tracker for job seekers and employee performance, enabling job alerts via email/sms.• Led business development efforts, in close consultation with marketing team to conduct wide scale assessments in colleges, job fairs while closely working with employers to provide necessary support to short list candidates through the portal.

Bengaluru, India

• Implemented the informational website and administrative backend of the FitnessAIR system, a product designed to measure and improve fitness levels of students.• Created administrative login for schools, franchise, and super admin in python/Django to add students’ fitness data and generate FitnessAIR report cards.• Featured the ability to track students’ fitness levels over a period along with providing feedback in terms of diet & exercises and providing school-level fitness reports and feedback to school authorities.• Led business development efforts, in close consultation with marketing team, to engage with management committees of schools and sports academies to roll out the business model.• IndiaKhelo got listed in top 10 firms for internship opportunities in India by MSN for the year 2010.• Bagged INR 3.6 million pilot project with Ministry of Tribal Welfare Association and assessed 1400 tribal people on fitness parameters in the Jhabua district of Madhya Pradesh, India.

Chennai Area, India

• Led a team of 4 in developing the statistical module for the Global Decision Platform (GDP), a high-volume, real-time decision environment, using open-source technologies including Python, MySQL, R, and C++• Developed the module to generate risk table variables in Python, C++, and BerkeleyDB for GDP and successfully evaluated it for two ongoing projects, reducing the load on SAS servers and increasing efficiency.• Generated complex variables using Python and the newly developed GDP module, thereby reducing load from SAS servers, and improving performance.

Chennai Area, India

• Developed analytical solutions to capture fraudulent transactions for Debit and Credit cards for a reputed bank in UK by identifying the pattern similarities among fraud and genuine transactions.• Performed necessary analysis, created model variables, and built statistical models on the given client data for predicting frauds for online (CNP) transactions.• Monitored the performance of the models in use on a continuous basis while working out requisite modifications in the strategies and decisions to improve model effectiveness.