Available to hire
I am an AI engineer with 5+ years of experience building scalable systems and AI/ML-driven solutions, thriving in ambiguous, high-impact environments, and motivated by solving complex, real-world problems. I design and ship data-powered, AI-enabled solutions that drive business outcomes across retail, manufacturing, and energy sectors. I am passionate about building reliable data pipelines, robust guardrails for AI, and collaborating with cross-functional teams to turn data into actionable insights. I am actively seeking opportunities to apply AI expertise to solve complex real-world problems.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Work Experience
AI Engineer at SwirePay
January 1, 2025 - PresentLed end-to-end AI-powered merchant analytics platform on AWS. Built a centralized data lake consolidating data from 3+ external systems (Shopify, Fiserv, Clover), processing 10M+ transactions and inventory records daily. Orchestrated LLM inference APIs in production to surface reliable merchant insights; managed Kubernetes clusters, Helm, and Argo CD pipelines for scalable AI platform operations. Implemented observability with Prometheus, Grafana, and ELK; deployed event-driven ingestion pipelines (EventBridge → Step Functions → Lambda) to unify data capture across sources. Reduced data fragmentation by 70% by replacing siloed reports with curated, analytics-ready datasets; improved data freshness from hours to near real-time by shifting batch processes to event-driven processing. Automated reconciliations and led data-quality checks to ensure accuracy. Migrated initial ingestion outputs from JSON to Parquet with curated schemas; improved Athena query performance by 4x-6x. Drove a
Associate Consultant - Data at Capgemini Bengaluru
May 1, 2021 - July 1, 2023Client: Ellevio. Built scalable ETL pipelines in Azure Data Factory with incremental loads, retries, and monitoring to ingest operational and meteorological data reliably. Implemented SQL transformations to standardize time zones, deduplicate device IDs, and produce analytics-ready datasets. Modeled and optimized Azure Synapse/SQL Server data warehouses using star schemas; enabled near real-time grid signals via Kafka and Spark Streaming pipelines. Enforced data quality checks and governance; improved data freshness and reliability for grid monitoring and operational analytics. Enabled containerized, versioned AI/analytics workflows with orchestration and CI/CD integration; ensured scalability across multiple environments and teams. Also supported client BAT MES project data pipeline onboarding and reconciliation processes, including ETL for global MES and finance data, with backfill, deduplication, and data validation logic; reduced manual rework and improved reporting consistency acr
Associate IT Consultant - Data at ITC Infotech Bengaluru
July 1, 2019 - January 1, 2021Client: Qatar Airways. Built production ETL pipelines using SQL, Python, and Airflow to ingest bookings, flight operations, and partner data from multiple systems. Standardized timestamps and identifiers, cleaned incomplete records, and deduplicated data using composite keys. Joined bookings, flight schedules, and operational status into single reporting-ready tables; eliminated the need for analysts to query multiple sources. Orchestrated workflows with Airflow DAGs to handle retries and dependencies; implemented data quality checks to ensure reliable reporting for flight operations and commercial analytics.
Associate IT Consultant at ITC Infotech
July 1, 2019 - January 1, 2021Client: Qatar Airways. Built production ETL pipelines using SQL, Python, and Airflow to ingest booking, ticketing, and flight operations data from multiple upstream systems. Standardized timestamps/time zones, reconciled duplicate records, and consolidated data into reporting-ready datasets. Orchestrated data flows end-to-end with Airflow DAGs and implemented data quality checks to prevent faulty data from influencing dashboards and operational reports.
Associate IT Consultant at ITC Infotech Bengaluru
July 1, 2019 - January 1, 2021Client: Qatar Airways. Built production ETL pipelines using SQL and Python to ingest booking, flight, and partner data from multiple upstream systems. Standardized timestamps and time zones; joined bookings with flight schedules and operational status; created single reporting-ready tables for analytics. Orchestrated end-to-end workflows with Airflow, mitigating data duplication and outages; implemented data quality checks to ensure reliable reporting.
Data Engineer at PeopleLens AI
June 1, 2024 - August 1, 2024Developed demo and evaluation datasets derived from Salesforce, Google Calendar, and Highspot to train internal AI models powering demo experiences. Generated synthetic, realistic sales and calendar data aligned to real structures to speed product iteration by ~30%. Automated data ingestion and transformation workflows, reducing manual prep by ~50% for sales, product, and demo teams. Built Looker dashboards visualizing sales engagement, platform usage, and rep activity; ensured safe, privacy-preserving demos by using synthetic data.
Education
Master of Science in Applied Data Science at San Jose State University
August 1, 2023 - May 1, 2025Bachelor of Engineering in Computer Science and Engineering at CMR Institute of Technology, Visvesvaraya Technological University (VTU), Bengaluru, India
August 1, 2015 - May 1, 2019M.S. in Applied Data Science at San Jose State University
August 1, 2023 - May 1, 2025B.E. in Computer Science and Engineering at CMR Institute of Technology, Visvesvaraya Technological University (VTU)
August 1, 2015 - May 1, 2019MS in Applied Data Science at San Jose State University
August 1, 2023 - May 1, 2025B.E. in Computer Science and Engineering at Visvesvaraya Technological University (VTU), Bengaluru, India
August 1, 2015 - May 1, 2019Qualifications
AI Knowledge, Representation & Reasoning Certification
January 11, 2030 - February 17, 2026AWS Generative AI Professional Certification
January 11, 2030 - February 17, 2026IBM Python for Data Science, AI, and Development Professional Certificate
January 11, 2030 - February 17, 2026Databases and SQL for Data Science with Python
January 11, 2030 - February 17, 2026Google Cloud Fundamentals: Core Infrastructure
January 11, 2030 - February 17, 2026Knowledge, Representation & Reasoning (IIT Madras via NPTEL)
January 11, 2030 - February 17, 2026Performer of the Milestone (ITC Infotech)
January 11, 2030 - February 17, 2026AWS Generative AI Professional Certification
January 11, 2030 - February 17, 2026IBM Python for Data Science, AI, and Development Professional Certificate
January 11, 2030 - February 17, 2026Databases and SQL for Data Science with Python
January 11, 2030 - February 17, 2026Google Cloud Fundamentals: Core Infrastructure
January 11, 2030 - February 17, 2026AWS Generative AI Professional Certification
January 11, 2030 - March 6, 2026IBM Python for Data Science, AI, and Development Professional Certificate
January 11, 2030 - March 6, 2026Google Cloud Fundamentals: Core Infrastructure
January 11, 2030 - March 6, 2026NPTEL Certification - Knowledge, Representation & Reasoning
January 11, 2030 - March 6, 2026Industry Experience
Energy & Utilities, Manufacturing, Software & Internet, Professional Services, Travel & Hospitality, Transportation & Logistics, Retail
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Hire a AI Engineer
We have the best ai engineer experts on Twine. Hire a ai engineer in San Jose today.