As chief technologist of Datasee, I have been instrumental in enhancing our engineering and data science practices, stabilizing and scaling our digital twin platform, and optimizing our defect detection capabilities,and tightening security and audit processes. My work has centered on leveraging advanced technologies to drive efficiency and foster innovation in energy asset management.Geospatial and Computer Vision, Drone Tech

Helping startups in their Micro services and Frontends, Data/ML and Platform engineering practices

As Head of Data at Out of the Blue, I have played a pivotal role in building a robust data products ecosystem that drives the company's data-driven growth. My work spans Security, Data Ops, Modeling, Architecture, and Orchestration, with a focus on transforming data into actionable insights.Key Accomplishments:Data Engineering: Architected and implemented scalable data pipelines and dynamic DAGs, ensuring robust and resilient data processing and transformation.Data Transformation: Streamlined retail analytics with advanced data acquisition methods and a semantic layer, simplifying complex analyses.Advanced Analytics: Developed precise time series forecasting models, root cause analysis tools, and techniques for model interpretability.Scalable Infrastructure: Designed a secure and observable AWS environment, incorporating best practices in data architecture and cloud infrastructure.Data Governance: Established comprehensive paper trail capabilities for transparent auditing and debugging.Leadership & Mentorship: Cultivated a data-driven culture, mentored data professionals, and influenced strategic decisions through impactful data presentations.𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞:𝐂𝐨𝐦𝐩𝐮𝐭𝐞: Amazon ECS, ECR, EC2𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲: AWS IAM with 2FA𝐀𝐏𝐈: FastAPI, GraphQL𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠: Python, Pandas, Polars𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Kedro, Apache Airflow𝐌𝐨𝐝𝐞𝐥 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Neptune.ai𝐌𝐋: Facebook Prophet𝐃𝐚𝐭𝐚 𝐒𝐭𝐨𝐫𝐚𝐠𝐞/𝐋𝐚𝐤𝐞: Amazon S3, Athena, Glue, RDS (PostgreSQL), Apache Druid𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 & 𝐋𝐨𝐠𝐠𝐢𝐧𝐠: CloudWatch, SES, Grafana𝐂𝐈/𝐂𝐃: GitHub Actions𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫s: Docker, KubernetesI am passionate about fostering innovation and collaboration across the organization, empowering data professionals to reach their full potential, and leveraging data to drive business growth and innovation.

As a Data + ML Solution Architect, I lead the development and implementation of big data solutions using open-source libraries and distributed systems in collaboration with data science team members. I design and implement a self-service platform for efficient development and automated deployment and scaling of ML models in production. I assemble large, complex data sets to support data science and analytics projects and rapidly prototype for platform adaptation.I build end-to-end pipelines for scalable, low-latency, high-performance ML solutions for different products. I leverage cloud-native and public cloud tools to scale and optimize the platform for infrastructure definition and automation. I also build and maintain A/B testing infrastructure for analytics and data science experimentation. Additionally, I evaluate managed machine learning platforms such as Databricks, Dataiku, and DataRobot, and implement proof of concepts with Kubeflow and TFX. I provide technical and architectural guidance on AWS-based service selections and design reviews and assist in data lineage data ingestion using Glue scripts, Alation API and Compiler works GraphQL API.In general, my efforts on that ground led to the following:- Reduction of execution times by 83%- Unlimited scalability due to the serverless nature- Faster and more convenient onboarding of data scientists from different teams- A huge reduction in costs to operate the project#MLOps #DataOps #PlatformAndDataEngineering #MachineLearning #PipelinesTools and Technologies: Compute(ECS, ECR, EMR, EC2), Security(AWS IAM + 2FA, Cognito, Secret Manager), Scripting(Python for data analytics, R), Workflow Processing(Lambda, Step Function, Airflow), Model Lifecycle Mgmt(MLFlow), ML(JupyterHub, Entire SageMaker Stack, TFX, DASK), Data Storage/Lake(Redshift, S3, Glue, RDS), Monitoring & Logging(CloudWatch, SNS, Elastic Search, Kibana), CI/CD(CloudFormation, GitLab), Container-ecosystem(Docker and Kubernetes)

As a product owner, I have crafted user stories and non-user requirements while effectively managing backlogs and stakeholder expectations. I have a proven ability to inspire, lead, and grow a team.I was responsible for developing a compelling technical vision and strategy that was aligned with business needs, and for architecting and managing the infrastructure to support all stages of the machine learning model lifecycle. This included feature engineering, model training, testing, monitoring, and deployment in a production environment. I was aware of the alternative technical choices made on my projects, and have experience managing data science architecture.I was an advocate for MLOps and worked to introduce and promote its use within my organization. I provided technical leadership for products across all engineering requirements, and have experience growing, leading, and mentoring a team of machine learning and data engineers.

As a Senior Principal Architect, I lead and mentor a team of data engineers, solution architects, and QA personnel to create big-data products for location intelligence. These products are used by various BFSI and Telecom vendors to solve addressing, fraud detection, route determination, geocoding, and property enrichment with respect to fire and shoreline crime risk data. Mobile trace data enrichment is also done.My responsibilities include managing product milestones, deployment cycles, and overall product roadmap, providing technical leadership for products across all engineering requirements, and implementing best practices in software engineering to improve the craftsmanship, resilience, and scalability of solutions. I stay up-to-date with technology trends, experiment with new technologies, and mentor other members of the engineering community. I also encourage innovation, cutting-edge technology implementation, teamwork, self-organization, and diversity.As a key member of the executive team, I work with product management, architecture, and professional services to deliver and maintain compelling products to market. I deliver products under strict deadlines and ambiguous requirements, implement iterative and asynchronous development methodologies and tools and reduce the time-to-insights window for new customers. I am also responsible for the overall development and release life cycle.#GeoSpatialRouting #DataEngineering #DataOPS #DataSecurityTools & Technologies: Cloud Platforms (GCP, AWS), Programming/Scripting (Java 8, Shell, Scala), Big Data and NoSQL (MapReduce, Spark, Hive), DevOps (Ansible, Gradle), Hadoop distros (Cloudera, Hortonworks, EMR, MapR), Data Storage Formats (CSV, Text, Parquet, Avro, ORC), Distributed Querying Engines (Hive-LLAP, Drill, Impala, Presto), Security (Kerberos, Sentry, Ranger), Analytics Notebooks (Zepellin, Jupyter)

As the leader of the India Engineering Team, I have:Led the development of urban mobility, IIOT, and greenfield projects, with a focus on test automation, architecture, and microservices.Collaborated with Product Management to define features and prioritize backlogs.Extracted Functional and NFR requirements from higher-level technical specifications, and documented TUCs, Architecture road-maps, and risks.Utilized Architecture Trade-off Analysis Method for risk mitigation, and bridged the strategic plan into implementations.Evolved the architecture based on discoveries, and recommended appropriate solutions to address architectural weaknesses.Worked closely with other architects to create a shared vision for each area's architecture and ensured the product's security through threat modeling.Worked with UI/X team to review prototypes and develop UI's, and with API/Services team to design, normalize and document API, establish API management and standardize logging, error and exception handling.Architected the test automation and code coverage and provided hands-on support as needed.Mentored and coached new and existing engineers, and provided detailed feedback in design and code review for high-quality software.Established CI/CD pipelines and practices, and ensured the production system by defining and configuring devices and app monitoring.#UrbanMobility #IIOT #Greenfield #TestAutomation #Architecture #Microservices #DDD #CQRS #OWASP #APISecurity #APIManagement #CI/CD #DevOps #InfrastructureMonitoringTools & Technologies: Apache-CXF, EJB, Spring, Mule, AngularJS, SmartCard API, Hazelcast, Orika Mapper, Websockets, TestNG, DB-Unit, Mockito, Hamcrest, Arquillian, JoCoCo, Benchmarking tools, profilers, Redis, ElasticSearch, Logstash, Kibana, Nginx, Zabbix

Develop cloud-enabled open source platform PAAS platform(TOAS) for development.Architect and hosting a portfolio of data products including Big Data, Search, and Analytics based on market researchDelivering solutions in the big data area using the Hadoop ecosystem and No SQL, Also set up effective monitoring & alerting of the clusterTelecom analytics use case delivered, also construct a customized recommender system using algorithmsPlatform provisioning app development#OpenSource #CloudEnablement #PASS #BigDataTechnologies & Tools: Hadoop, Pentaho, Mongodb, Highcharts, Spring, Java, Tomcat, Lombok, Mule, AWS API and S3, Memcache with Mariadb, Ganglia, Nagios

Successfully refactored legacy code to industry standard patterns, increasing the maintainability and scalability of the system.Implemented migration of applications from Spring batch Framework to IBM Compute Grid (JSR-352), resulting in improved performance and cost efficiency.Provided Agile coaching to the team, resulting in more accurate project estimations and better project management.Developed an API for interacting with distributed data grids, which is compliant with JSR 347, and integrated EHcache for improved data access and management.Created and deployed a mock Master Data Management service component using SOAP UI, and exposed interfaces through ESB for seamless integration with other systems.Implemented Multichannel API compliant with JSR 286 and JSR 168, allowing for better user experience and accessibility.#legacycoderefactoring #agilecoaching #APIdevelopment #datagridintegration #masterdatamanagementTechnologies & Tools: J2EE, DataGrid, SOAP, Mule ESB.

As a senior architect and developer, I am responsible for leading the development of winning proposals in collaboration with the creative team, keeping abreast of competitors. I have experience in developing and managing relationships with strategic partners, and executing deals with new and existing clients. Additionally, I lead scope discussions for quarterly releases with customers, participate in daily stand-up meetings, and take ownership of technical problem-solving and bug fixing. I have set up and managed Production support/RUN teams with seamless coordination with L1, L2, and L3 support teams, as well as drafting contracts and SLAs to ensure smooth and efficient operations.My expertise includes automation of metrics using BI tools, as well as implementing best practices for project support and documentation.#CompetitiveAnalysis #Partnerships #AgileMethodology #SLA #MetricsAutomation

As a Senior architect/developer in Equity Research and Modelware, I have a track record of helping investors and analysts uncover value by providing accurate and reliable data. I have experience in developing solutions that aid in valuation, performance measurement, credit analysis, capital budgeting, and debt covenants, among many others. I have developed and implemented a time-based alerting system that captures various data metrics after-market closure based on Taxonomy. Additionally, as a Senior architect/developer in Leveraged buyout (LBO) application using Flex#EquityResearch #DataMetrics #TaxonomyTechnologies & Tools: Flex, Java, SOAP, OS-Cache, Tomcat.

As a Senior Architect and Developer, I have extensive experience leading the development of:complex and mission-critical projects for financial institutions, a J2EE-based Basel-II compliant core banking solution for CIBCProficient in in-memory caching solutions and have adopted JSR-107 for caching and designed an abstraction layer to integrate with existing systems for clients such as JP Morgan. #Base-lII #CoreBanking #PerformanceImprovementTechnologies & Tools: J2EE, EJB, JSR-107, OS-Cache, Hibernate, WebLogic.

As a Senior Developer for client T.Rowprice Investments., I have:Led the re-engineering and migration of legacy applications to J2EE and Websphere platforms, resulting in improved performance, scalability, and cost efficiency.Redesigned desktop and applet-based applications to web-based, resulting in increased user convenience and better accessibility.Migrated CORBA-based distributed applications to EJB components and reusable web services, resulting in a simplified architecture and improved maintainability.Conducted code and test plan review to ensure quality and adherence to industry standards.Integrated and maintained third-party applications and performed JVM monitoring and performance tuning to reduce memory leaks and optimize application performance.Developed a rapid prototype of Lotus Notes with a Domino connector for GLIC.#LegacyModernization #TestPlanReviews #PerformanceOptimization #JVMmonitoring #MemoryLeakReduction.Technologies & Tools: J2EE, Websphere, EJB, Web Services, Performance tuning tools (Wily Interscope, J-Profiler).

As a Lead Developer, I built an Epicentric Portal-based survey application and a "one-click" embedded browser toolbar for the IEEE Computer Society. This project was a success, resulting in a 50% increase in survey response rate and an increase in user satisfaction. Additionally, I delivered an interface between Epicentric Portal and Lotus Domino environment, Notes Connector for American Express, and ACWD (Alameda County West District). This project resulted in an increase in efficiency in data integration and communication between systems.#PortalDevelopment #EmbeddedToolbar Technologies & Tools: Epicentric Portal, Java, JavaScript, CSS, HTML, Lotus Domino, Notes Connector

As a Senior Developer, I was responsible for leading the development of an engineering corporate portal for the General Motor Electromotive Division. The portal enabled clients to purchase locomotive parts and view technical documentation efficiently. I successfully integrated the portal with the ERP system, resulting in streamlined purchase order and inventory tracking processes. This project was a successful initiative that helped the Electromotive division to increase efficiency and improve customer satisfaction.#CorporatePortal #EcommerceTechnologies & Tools: Java, XML, XSLT, EJB and Servlets, ERP system integration.

As a Programmer Analyst, I was responsible for developing an ERP solution for an International School in India. The solution was designed to streamline various school operations including student information management, financial management, and human resource management. I was responsible for the full software development life cycle from requirements gathering to system design, development, testing, and deployment. Additionally, I provided technical support and maintenance for the solution post-deployment.#ERP #SchoolManagement #SoftwareDevelopmentTechnologies & Tools: Java, SQL, ERP software development tools.