Experience

💼 Professional Experience

Summary

AWS Certified Solutions Architect – Professional and CompTIA PenTest+ certified engineer with 6+ years of experience designing secure, analytics-driven data platforms on AWS and Databricks. Skilled in architecting ETL pipelines, governance systems, and AI-driven compliance frameworks that power enterprise analytics and security insights.

Garmin International — Kansas, USA

Senior Software Engineer, Product Security (June 2025 – Present)

  • Architected cloud-native pipelines integrating telemetry, SBOM, and compliance datasets within an AWS + Databricks Lakehouse, enhancing analytics accessibility and governance across 250+ product lines.
  • Developed GenAI-based data processing workflows using AWS Bedrock and OpenAI APIs to extract insights from compliance documents, cutting manual review effort by 40%.
  • Transformed SAST findings into AI-driven data pipelines with Databricks and Delta Lake, automating issue categorization and improving remediation efficiency by 30%.
  • Designed data lineage and traceability dashboards in Tableau, improving visibility across 250+ product lines.
  • Collaborated with governance and compliance teams to build EU RED / CRA-ready data models, enabling structured, auditable reporting.
  • Tuned Spark SQL and distributed compute strategies, improving performance 3.2× and saving $120K annually.
  • Led enterprise migration of compliance data pipelines to AWS, reducing manual effort by 65%.

Software Engineer 2, Product Security (Jan 2023 – Jun 2025)

  • Engineered ETL and orchestration pipelines processing component, vulnerability, and telemetry data from 1,000+ builds using AWS Glue, Step Functions, and Databricks.
  • Built LLM-powered semantic search for querying vulnerability and dependency datasets in natural language.
  • Migrated legacy static-analysis results into Delta Lake datasets, enabling near-real-time analytics.
  • Created a PySpark-based validation framework for schema and data-quality governance across ingestion layers.
  • Automated generation of EU RED / CRA compliance datasets and built Tableau dashboards providing real-time leadership visibility.
  • Implemented AWS cloud-security controls aligning SAST and pentest findings with telemetry and SBOM data.
  • Mentored peers on data-pipeline design and Databricks best practices.

EnSoft Corp — Iowa, USA / Rajasthan, India

Software Engineer (Jan 2019 – Dec 2020)

  • Built data-collection frameworks analyzing large-scale software builds and code-quality metrics.
  • Migrated analytics systems from on-prem to AWS S3 / Redshift, cutting batch latency by 45%.
  • Implemented ETL automation using Python + Spark, improving batch efficiency by 40%.
  • Built data profiling tools to enhance maintainability and support modernization efforts.
  • Automated CI/CD data workflows using Jenkins and Maven.

Software Engineer Intern (May – Aug 2021 & 2022)

  • Transitioned internal analytics from scripts to Databricks notebooks with Delta Lake versioning and auditability.
  • Introduced Spark streaming for near-real-time build metrics; improved latency/observability of engineering KPIs.
  • Prototyped ML-based anomaly detection on build performance data to prioritize defects and trend outliers.

Iowa State University — Ames, Iowa, USA

Research & Teaching Assistant (Spring 2021 – Fall 2022)

  • Built an ML-based classifier to identify loop behaviors in Linux kernel code, cutting review time by 60%.
  • Guided 350+ students on data pipelines, software analytics, and automation.

Visiting Researcher (Jun 2018 – Nov 2018)

  • Contributed to DARPA’s Space/Time Analysis for Cybersecurity (STAC) program, developing data-driven vulnerability analysis tools.
  • Designed AI-assisted program analyzers for anomaly detection in C/C++ codebases.
  • Published award-winning research on analytical modeling of software-security data.

🧠 Core Expertise

Data & Cloud Engineering:
Python (Pandas, PySpark) · SQL · Databricks · Spark · AWS (Glue | S3 | Redshift | Lambda | Step Functions | CloudFormation | IAM | EMR | Athena | RDS) · Delta Lake · Airflow · Tableau · Azure (Databricks | Blob Storage)

AI & Machine Learning:
GenAI (Bedrock | OpenAI APIs | LangChain) · SageMaker · Vector DBs (Pinecone | FAISS) · NLP Automation · AI Model Simulation · ML Pipeline Automation

Security & Compliance:
SBOM (CycloneDX) · SAST Automation · Vulnerability Analytics · Metadata Pipelines · Governance & Lineage · EU RED / CRA Reporting · Cloud Security Controls · Regulatory Compliance Frameworks

DevOps, Programming & Architecture:
ETL/ELT Design · Data Lakes & Warehousing · Modeling · Data Quality & Access Control · Git · Jenkins · Docker · CI/CD Pipelines · JIRA · Jupyter Notebooks · Shell · Java · C/C++ · Data Structures

🎓 Education

Master’s in Computer Engineering — Iowa State University, Iowa, USA (2021–2022)
M.Tech in Computer Engineering — Malaviya National Institute of Technology, Jaipur, India (2016–2018)
B.Tech in Computer Science & Engineering — Rajasthan Technical University, Kota, India (2011–2015)

🧩 Certifications

  • AWS Certified Solutions Architect – Professional (Active)
  • AWS Certified Developer – Associate (Active)
  • CompTIA PenTest+ (Active)

🏆 Achievements

  • Data & AI Innovation Award (2024) – Garmin International for leading GenAI-driven compliance automation.
  • Compliance Excellence Award (2024) – Garmin International for enabling continuous European product sales through EU RED / CRA readiness.
  • Top Performer (2018) – DARPA (U.S. Defense) STAC Program, Iowa State University for advancing static-analysis automation.
  • Best Challenge Entry Award (2018) – IEEE DySDoc3, Madrid, Spain for research on documentation analytics and software comprehension.

🎵 Interests

Travel · AI Experiments · Fitness · Music · Running