{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"Software Developer","company":"Thales","tabLabel":"Thales","location":"Ottawa, ON, CA","range":"Jan 2025 - Present","url":"https://cpl.thalesgroup.com/"},"html":"\n- Developed and scaled distributed IAM microservices in Java and .NET supporting SAML, OAuth, and OIDC across multi-tenant environments on Kubernetes and GCP, serving 1M+ users.
\n- Reduced p95 latency in critical IAM workflows from about 800ms to under 120ms through query optimization, indexing, and distributed Redis caching.
\n- Built autonomous CI/CD failure recovery and test self-healing system in Python using LangGraph-based LLM agents with tool execution and browser control, automatically resolving about 35-40% of flaky test failures.
\n- Built RAG-based incident analysis platform integrating Jira, logs, traces, and metrics using FAISS retrieval, reducing MTTR by an estimated 20-30%.
\n- Built distributed load testing framework using Kubernetes, Helm, Terraform, and Locust on GCP, simulating 100K+ concurrent users and surfacing bottlenecks before production deployment.
\n- Led LLM-based .NET 5 to .NET 8 migration framework for core feature services with multi-pass validation and feedback loops, achieving about 70% to 82% automation.
\n- Optimized LLM inference pipelines using retrieval, context pruning, and multi-layer caching, reducing token consumption by up to 3-4x.
\n
"}},{"node":{"frontmatter":{"title":"Software Systems Engineer Intern","company":"Thales","tabLabel":"Thales Contract","location":"Ottawa, ON, CA","range":"May 2024 - Dec 2024","url":"https://cpl.thalesgroup.com/"},"html":"\n- Built distributed load and performance testing infrastructure using GCP, GitLab CI, Locust, PostgreSQL, Terraform, and Kubernetes tooling, enabling scalable benchmarking with consolidated reporting dashboards.
\n- Automated technical documentation workflows for release engineering, reducing documentation turnaround time by about 40% across recurring product releases.
\n- Ranked 11th globally in the company-wide engineering hackathon for developing an AI-driven automation solution.
\n- Delivered internal seminars on Generative AI, LLM systems, and emerging technologies to engineering teams, promoting adoption and technical awareness.
\n
"}},{"node":{"frontmatter":{"title":"Software Development Intern","company":"Thales","tabLabel":"Thales Internship","location":"Ottawa, ON, CA","range":"May 2023 - Sep 2023","url":"https://cpl.thalesgroup.com/"},"html":"\n- Engineered distributed load and performance testing infrastructure for the SafeNet Trusted Access microservice platform, reducing manual testing effort by about 250% through automated workflows.
\n- Built CI/CD monitoring and observability scripts delivering real-time pipeline status, logs, and execution visibility for engineering teams.
\n- Authored system documentation including implementation guides, architecture flowcharts, and operational manuals to improve onboarding and deployment clarity.
\n
"}},{"node":{"frontmatter":{"title":"Software Development Engineer II","company":"Vahak","tabLabel":null,"location":"Bengaluru, KA, IN","range":"Feb 2022 - Sept 2022","url":"https://www.vahak.in/"},"html":"\n- Architected the latest version of Vahak’s Map system to enhance the company’s geolocation data integrity, quadrupling the number of points of interest on the map.
\n- Improved search relevance by about 89% through relevance tuning and query analysis, increasing conversion.
\n- Built Kafka-based pipelines processing about 2M events per day into MongoDB and S3 for analytics and ML workflows.
\n- Collaborated with data science teams to optimize recommendation metrics and improve customer engagement.
\n
"}},{"node":{"frontmatter":{"title":"Senior Software Engineer","company":"Pinkblue","tabLabel":null,"location":"Bengaluru, KA, IN","range":"April 2019 - Feb 2022","url":"https://pinkblue.in/"},"html":"\n- Identified manual handoff steps inflating delivery error rates and redesigned logistics workflows with automated validation gates, reducing errors by about 17% and saving an estimated $187K annually.
\n- Architected and built a POS and logistics platform across 100+ hospitals and 450+ pharmacies, unifying inventory, order processing, and fulfillment as the first system to span both verticals.
\n- Led the GCP to AWS migration and improved observability with New Relic and Sentry, reducing incidents by about 23%.
\n- Built a real-time pricing engine using inventory and partner data feeds, improving order conversion by about 15%.
\n
"}},{"node":{"frontmatter":{"title":"Backend Engineer","company":"Inclov","tabLabel":null,"location":"Gurgaon, DL, IN","range":"Nov 2017 - March 2019","url":"https://web.archive.org/web/20190519184752/http://www.inclov.com:80/"},"html":"\n- Built encrypted messaging and push notification systems from scratch, improving delivery reliability from 72% to 94% and increasing engagement by about 41% over six months post-launch.
\n- Implemented an ML-based content moderation pipeline using OpenCV and Scikit-learn, reducing manual moderation workload by about 27% and enabling headcount-free scaling.
\n- Redesigned onboarding flows for WCAG 2.1 accessibility compliance, improving activation rates by 20-25% based on funnel tracking before and after rollout.
\n
"}},{"node":{"frontmatter":{"title":"Associate Data Scientist","company":"Cognier Insights","tabLabel":null,"location":"Hyderabad, TL, IN","range":"Jun 2017 - Oct 2017","url":"https://wellfound.com/company/cognier-1"},"html":"\n- Worked on backend data infrastructure and analytics systems for Samplepop, a B2B geo-mapping and local store intelligence platform.
\n- Improved data ingestion and processing pipelines to support higher-volume real-time analytics workloads.
\n- Increased platform throughput to about 60K hits per minute, improving responsiveness of the recommendation engine and visibility analytics by about 40%.
\n
"}}]}}}