I build reliable backend services, full-stack products, distributed data pipelines, and governed AI workflows.
Software Engineer with 3+ years of experience building backend services, full-stack applications, and data pipelines. Currently on the AI Platform team at Databricks, working on governed agentic AI and data platform engineering; previously built enterprise SaaS at Neon IT Systems. M.S. from RIT and co-author of an EASE 2026 privacy study.
| Backend Java · Python · Spring Boot · FastAPI · Node.js · REST APIs · Kafka · Idempotency |
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| Frontend React · TypeScript · JavaScript · Angular · Redux Toolkit · D3.js |
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| Data SQL · PostgreSQL · MySQL · Redis · PySpark · Apache Spark · Delta Lake · Unity Catalog |
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AI Databricks Agent Framework · Tool Calling · MLflow Tracing · LangGraph · RAG · FAISS |
| Cloud & Testing AWS · GCP · Docker · Kubernetes · CI/CD · pytest · JUnit · OpenTelemetry · Datadog |
August 2025 – Present · San Jose, California
Built governed AI workflows, backend services, Spark data pipelines, and full-stack platform features.
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- Integrated a governed agentic AI workflow using Databricks Agent Framework, tool calling, and MLflow Tracing, automating 4 recurring engineering tasks per sprint after evaluating 1,000+ agent traces.
- Developed Python backend services and Java SDK integrations for workspace, job, and metadata operations; caching, validation, and fault handling reduced failed service calls by 18%.
- Built PySpark and SQL pipelines on Apache Spark and Delta Lake processing 10M+ records per run, cutting runtime from 2.5 hours to 40 minutes through incremental loads with Unity Catalog governance.
- Delivered FastAPI, React, and TypeScript features across 10+ developer and data workflows, including REST APIs, asynchronous workflows, and reusable UI components.
- Maintained 150+ automated checks with pytest, integration testing, Bazel, and CI/CD; partnered with frontend, platform, data, and SRE engineers to deliver 8+ production workflows.
May 2022 – July 2023 · Ahmedabad, India
Developed multi-tenant SaaS APIs, improved PostgreSQL performance, and strengthened production releases.
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- Architected multi-tenant SaaS modules using Java, Spring Boot, Python, and React, delivering 20+ REST APIs for tenant configuration, access control, notifications, and customer-facing administration.
- Optimized PostgreSQL queries, indexes, and connection pooling, reducing service p95 latency from 2.1 seconds to 480 ms across 250K+ records and ML prediction data.
- Decoupled scheduled processing and bulk data loads into Python background jobs, reducing API timeout errors by 24%.
- Supported 12 application releases using JUnit, pytest, Docker, Jenkins, and AWS deployment workflows; mentored 3 junior engineers through reviews, debugging, API design, and testing.
February 2021 – April 2022 · Ahmedabad, India
Built enterprise workflow features and automated data validation, reporting, and file processing.
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- Built responsive React interfaces and 15+ REST APIs with Java, Spring Boot, and PostgreSQL for user, approval, reporting, and administrative workflows.
- Automated data validation, scheduled reporting, and file processing across 100K+ business records, saving the support team 7 hours per week.
- Wrote JUnit and pytest integration tests with senior engineers and QA, and resolved 18+ production defects across sprint releases.
August 2024 – December 2025 · Rochester, New York
Researched Android privacy disclosures and runtime logging, contributing to an EASE 2026 paper.
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- Co-authored an EASE 2026 Research Track paper comparing privacy policies with runtime logging across 1,000 Android applications and 86.8M+ log entries.
- Built Python automation using ADB, Monkey, and Logcat for app exploration and behavioral analysis; contributed to privacy-leakage analysis and validation.
August 2025 – December 2025 · Rochester, New York
Mentored graduate students in software testing and led research-paper discussions for SWEN 777.
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- Supported graduate SWEN 777 instruction under Dr. Xueling Zhang, mentoring students in software testing methodology.
- Led seminars covering 25+ research papers and held weekly office hours to support assignments and research.
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AI investigation console for synthetic trade exceptions, with a 13-node LangGraph workflow, evidence-grounded RAG, mandatory human review, and an audit trail.
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Transaction-risk platform on synthetic data, with a transactional outbox, idempotent Kafka consumers, explainable scoring, and distributed tracing.
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Maritime intelligence over 5.9M historical vessel observations, combining geospatial analytics, map replay, a 3D inspector, and an AI copilot.
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Browser automation that discovers workflows with an LLM, then replays verified steps deterministically with policy checks and human handoff.
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More projects
- WebOps Commander — Incident simulation with typed WebMCP tools, human-approved recovery, and an audit timeline.
- Duel Arena — A Godot rules engine with deterministic card interactions and regression tests; in development.
- Integration Operations Hub — Angular dashboard coordinating Express, FastAPI, and .NET services with retries and partial-success handling.
Independent portfolio projects using synthetic or public data; unaffiliated with employers.
- RIT — M.S., Computer Software Engineering · 2023–2025 · 3.94/4.0
- Gujarat Technological University — B.E., Electronics and Communication · 2019–2023 · 3.89/4.0
Co-authored a privacy study comparing policy disclosures with 86.8M+ runtime log entries across 1,000 Android apps. Read the preprint.
- Building with the Claude API — Anthropic
- Model Context Protocol: Advanced Topics — Anthropic
- Claude Code in Action — Anthropic
16 more credentials and learning activities
The AZ-900 entry is an exam preparation course, not a Microsoft Azure certification.
I am open to Software Engineer, Backend, Full-Stack, Platform, Cloud, and AI Engineering roles — especially teams working on distributed systems, developer platforms, and production AI.
