Divakant Pandey
Staff Software Engineer
Bengaluru
Summary
US 62893309: Published Patent based on Method and Apparatus for Identifying Errors in a Data Store.
Sophisticated Machine Learning Engineer with background in independent research using intuitive, web-based architecture. Skilled in Machine Learning and Data Engineering with documented history of discovering methods to intelligently use data to enhance user experience. Effectively researches techniques for novel approaches to problems, develops prototypes to assess viability of approach and deploys application into production yielding insights to expand customer-consciousness.
Astute Machine Learning Architect with data-driven and technology-focused approach. Communicates clearly with stakeholders and builds consensus around well-founded models. Talented in writing applications and reformulating models. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
Meticulous Architect accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
14
14
years of professional experience
8
8
years of post-secondary education
Work History
Staff Machine Learning Engineer
Walmart
Bengaluru
01.2018 - Current
- Increased client satisfaction by consistently delivering high-quality designs that met budgetary guidelines and exceeded aesthetic expectations.
- Implemented advanced computer software for drafting and designing, improving overall efficiency and accuracy in architectural plans.
- Developed custom machine learning algorithms for specific industry needs, resulting in improved performance and efficiency.
- Mentored junior engineers on best practices in data engineering, machine learning model development, and deployment strategies, contributing to their professional growth and overall team success.
- Streamlined data ingestion pipelines by automating repetitive tasks, reducing processing times significantly while maintaining high-quality outputs.
- Managed timelines effectively to deliver multiple concurrent projects on schedule without sacrificing quality or accuracy standards.
- Implemented scalable machine learning platforms that supported large-scale deployments of AI-driven applications.
- Implemented robust error handling and logging mechanisms within machine learning pipelines, ensuring swift identification of issues and minimizing downtime.
- Enhanced data quality with thorough preprocessing, cleaning, and transformation tasks, leading to more accurate model predictions.
- Championed adoption of agile methodologies within team, resulting in increased project visibility and improved collaboration among members.
- Provided technical guidance for junior team members on best practices in machine learning engineering, fostering culture of knowledge sharing and continuous improvement.
- Presented complex project findings to non-technical stakeholders using clear visualizations and concise explanations, facilitating informed decision making.
- Conducted rigorous validation tests for developed machine learning models to ensure robustness and reliability before deployment.
- Conducted regular code reviews to maintain high standards of coding practices and identify areas for improvement in existing implementations.
- Evaluated third-party tools and libraries for potential integration into internal projects based on compatibility with existing infrastructure and performance benchmarks.
- Worked closely with domain experts to ensure accurate representation of problem context within developed models, enhancing their real-world applicability.
- Optimized machine learning models by implementing advanced algorithms and feature selection techniques.
- Incorporated Observability data (Logs and Metrics) to understand and translate complex business problems into machine learning problems.
- Researched, designed and implemented machine learning applications to solve business problems affecting millions of users.
- Analyzed large datasets to identify trends and patterns in customer behaviors.
- Ran statistical analyses within software to process large datasets.
- Reduced latency in real-time analytics applications by optimizing query performance through indexing strategies and proper database design principles.
- Ensured compliance with relevant regulations related to data storage, privacy, security, and transmission standards by staying updated on legal developments impacting industry.
- Increased efficiency of ETL processes by automating manual tasks, reducing processing time and resource consumption.
- Implemented monitoring systems for tracking model performance, ensuring timely updates and maintenance.
- Ensured compliance with ethical AI principles throughout entire MLOps lifecycle while working on sensitive projects.
- Optimized model performance by conducting thorough data analysis and feature engineering.
- Enhanced MLOps processes by implementing automated workflows and continuous integration pipelines.
- Successfully deployed multiple production-ready machine learning models, meeting project deadlines consistently.
- Researched, designed and implemented machine learning applications to solve business problems affecting 1000000+ users
App II
United Health Group, Optum
Bengaluru
05.2016 - 01.2018
- Intelligent Directory Platform for insurance data of more than 10 million user base throughout US healthcare system
- Identified areas for improvement within existing ETL frameworks to maximize efficiency without sacrificing accuracy or integrity of results produced during transformations applied on ingested datasets.
- Delivered high-quality code reviews for colleagues'' contributions following established coding standards and best practices, maintaining consistency throughout projects.
- Developed custom algorithms and advanced analytics solutions tailored to specific needs of various business units, enabling actionable insights that drove informed decision making.
- Developed scalable infrastructure capable of handling vast amounts of structured and unstructured data, improving overall system performance.
- Aligned business objectives with technical requirements through close collaboration with product owners providing insights based on available data sources.
- Optimized data processing by implementing cutting-edge data engineering techniques and tools.
- Established strong working relationships with stakeholders across multiple departments, facilitating clear communication channels regarding project requirements and progress updates.
- Enhanced data quality and reliability for real-time analytics by designing and deploying robust data pipelines.
Member of Technical Staff
EdgeVerve
Bengaluru
08.2014 - 04.2016
- Conducted thorough code reviews to maintain coding standards and best practices across projects, ensuring consistency and high-quality output
- Developed innovative solutions to complex technical problems, improving overall efficiency and productivity of team.
- Optimized code quality through diligent testing and debugging, resulting in improved system reliability and stability.
- Managed expectations of internal clients by clearly communicating project status updates along every development phase.
- Contributed to design and architecture of major software components, enabling scalable and robust systems.
Senior Software Engineer
ConnectM Technologies
Bengaluru
12.2013 - 07.2014
- Connected more than10000 devices of Prestigious clients to IOT framework.
- Streamlined processes for firmware updates, reducing downtime for critical IoT infrastructure.
Implemented robust security measures to protect sensitive data and ensure integrity of IoT networks.
Optimized energy consumption in connected devices, contributing to more sustainable ecosystem of smart products. - Collaborated with cross-functional teams to design, develop, and deploy innovative IoT products and services.
- Established culture promoting continuous learning and improvement thereby encouraging workforce to experiment with new ideas and approaches
Project Engineer
Wipro Technologies
Bengaluru
08.2010 - 12.2013
- Onboarded 150000 vehicle sensors data to Machine to Machine Platform and drawn meaningful insights
- Skilled at working independently and collaboratively in team environment.
- Troubleshot and resolved complex technical issues, ensuring reliability of IoT systems for end users.
- Enhanced IoT system efficiency by optimizing device connectivity and data transfer protocols.
- Established effective communication channel across all departments working on project to ensure seamless integration between hardware and software components.
- Developed custom IoT solutions for clients, resulting in improved performance and cost effectiveness.
Education
MTech - Artificial Intelligence And Machine Learning
Birla Institute of Technology And Science
Pilani, India 11.2023 - 12.2025
Certification - Advance Program in Data Science And ML
IIM
Kolkata, India 03.2018 - 03.2019
Bachelor of Technology - Computer Science
MIET
Meerut, India 03.2006 - 08.2010
Skills
Team Collaboration
undefinedAccomplishments
- Optimized the Pipeline to save 40% of cost of the entire framework.
- Suggested multiple design changes to reduce millions of models training time by a factor of 10x.
- Trained and managed millions of models
- Designed and implemented Realtime and Batch Predictions in the framework
Timeline
MTech - Artificial Intelligence And Machine Learning
Birla Institute of Technology And Science
11.2023 - 12.2025
Certification - Advance Program in Data Science And ML
IIM
03.2018 - 03.2019
Staff Machine Learning Engineer
Walmart
01.2018 - Current
App II
United Health Group, Optum
05.2016 - 01.2018
Member of Technical Staff
EdgeVerve
08.2014 - 04.2016
Senior Software Engineer
ConnectM Technologies
12.2013 - 07.2014
Project Engineer
Wipro Technologies
08.2010 - 12.2013
Bachelor of Technology - Computer Science
MIET
03.2006 - 08.2010
Hobbies
Guitar, Chess, Cricket
Hobbies
Guitar, Chess, Cricket
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