Jan 2024 – Jul 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India

• Developed dynamic breach profile views for traders using Ag-Grid, reducing incident triage time by 30%.
• Automated attestation email workflows using Apache NiFi + Kafka, eliminating ~20 hours/week of manual processing and cutting error rates by 30%.
• Designed pre-trade control systems for European OTC derivatives, reducing regulatory errors by 40%.
• Led uplift of private bank credit platform, introducing automated credit checks that cut onboarding time from weeks to days.
• Architected loosely coupled microservices in Java + Spring Boot, processing thousands of daily credit requests.
• Implemented auditing via custom annotations for MongoDB, streamlining compliance and reducing support load by 25%.
• Built a schema versioning module to track document structure changes and raise SLA-based alerts.
• Integrated monitoring with Prometheus + Grafana to proactively detect performance bottlenecks.
• Developed responsive frontends using React + MobX for enhanced user experience.
• Managed containerized microservices using Docker + Kubernetes, and maintained CI/CD pipelines via Gitlab pipeline, improving release stability.

Jul 2022 – Jan 2024 · 1 yr 6 mos · Bengaluru, Karnataka, India

• Spearheaded a complete architecture revamp of a legacy system, optimizing schema and reducing query times by 40%.
• Built a generic, entitlement-based view renderer using ag-grid, enabling region-specific views and enhancing maintainability.
• Designed configurable tabular UIs tailored to user roles and geographies.

Aug 2020 – May 2022 · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

• Designed and implemented a Solr-based search API over Aadhaar's 130+ crore records, achieving response times under 600ms.
• Built a Kafka-based cross-data-center replication system with DLQ + exponential backoff; supported ~6M daily events.
• Modernized letter generation by migrating from batch to Golang microservices; reduced latency by 60%.
• Integrated monitoring via Prometheus + ELK; halved incident detection time.

May 2019 – Jul 2019 · 2 mos · Hyderabad, Telangana, India

• Project supervisor: Dr. Soumya Jana
• Developed a machine learning algorithm that predicts the Intraocular Lens power used by subjects that underwent cataract surgery. The model supplemented standard medical methods thereby increasing efficiency and introducing machine learning into the field of medical science.

May 2018 – Jul 2018 · 2 mos · India

• Time Series Analysis, studying the performance of different ARMA models on Time Series data and comparing the performance of traditional machine learning algorithms like SVM against traditional Time Series prediction models.
• The internship was done under the supervision of Prof. Ashish Ghosh, Machine Intelligence Unit, ISI Kolkata.

Dec 2017 – Jan 2018 · 1 mo · India

• Travel App Chatbot using Cognitive Search and Natural Language Processing.
• IBM Supervisor: Prof. Sarma Gadepalli, Cognitive Solutions Lead(IBM Senior Certified Consultant and Member IBM Academy of Technology) CBDS-WATSON CoC.