Design x Engineering Narrative
Software Engineer building AI systems with product intuition, delivery speed, and trust-by-design.
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Six-second recruiter signal
I build production AI and full-stack platforms that ship quickly, stay reliable, and feel intuitive. Every decision ties engineering depth to business impact, so teams move faster and users trust the product.
96%
Directly tied to Onetera multi-agent workflow optimization. Restructured orchestration layers to cache and route deeply nested state trees efficiently.
22
State-machine architecture powering production orchestration.
40%
Measured in production after asynchronous execution redesign.
Based in Los Angeles, CA, currently on H-1B, and open to relocation for Software Engineer and AI opportunities where trusted AI, product momentum, and reliable delivery are mission-critical.
My journey from a Computer Science student in India to a technical leader in Los Angeles has taught me to build systems that are not only functional, but resilient and observable at scale.
As a Software Engineer 2 at Onetera (through March 2026), I architected distributed AI infrastructure and high-performance systems for production workloads. I hold a Master of Science in Computer Science from the University of Southern California, where I specialized in AI/ML and distributed systems.
Systems over features. The best engineering decisions account for long-term performance, observability, and reliability, not just immediate delivery.
I focus on distributed AI infrastructure, observability systems, and high-performance engineering that creates measurable business outcomes.
Career momentum
Sep 2024 - Mar 2026
Software Engineer 2 - Onetera Technologies
Scaled production civic AI systems post-seed with architecture that passed investor diligence and improved operational resilience.
Owned reliability, deployment velocity, and production observability while partnering directly with city stakeholders and internal PM teams.
Prioritized no-code program controls (Onetera Studio) so non-engineers could ship updates safely without engineering bottlenecks.
Jan 2024 - Aug 2024
Software Engineer 1 (Founding) - Onetera Technologies
Took platform from initial architecture to production readiness with measurable speed, reliability, and onboarding improvements.
Built system abstractions, migration strategy, CI/CD, and developer workflows in close loop with founder, design, and early users.
Moved from Neptune to Supabase to reduce cloud spend and simplify frontend state complexity while keeping enterprise reliability.
May 2023 - Dec 2023
Full Stack Engineering Intern - Provenir
Delivered full-stack credit decisioning modules with strong release quality for regulated enterprise workflows.
Worked across UI, backend, and QA loops to stabilize high-risk release paths and reduce deployment regressions.
Resolved UI race conditions via RxJS event control to prioritize deterministic outcomes in financial user journeys.
Jun 2021 - Jul 2022
Software Engineer 1 - Hashedin by Deloitte (Deloitte USI)
Built platform modules and analytics for 4,000+ internal users by consolidating fragmented hiring data into one fast API layer.
Owned cross-module delivery for hiring and candidate experiences, plus analytics used by leadership to improve hiring visibility.
Invested in a unified API contract first so analytics, workflow automation, and candidate UI could ship in parallel.
Build portfolio
Modern AI engineering, secure architecture, and product-led execution across enterprise, civic tech, and developer tooling.
Contributed a reproduction and in-cookbook mitigation for unsafe deserialization in RunnableWithMessageHistory: constructor-shaped run outputs were being revived into live messages and persisted to chat history (history poisoning), related to langchain-ai/langchain#36380.
Explores evolutionary algorithms together with stochastic differential equation (SDE) formulations for simulation and optimization-style experiments.
Architected a cost-tracking utility that handles sub-second API health heartbeats for Gemini 2.0/3.0 models. Contributed to the official Google Gemini repository with production-ready observability tooling.
Engineered a self-healing agentic framework that generates Jest tests using OS-level sandboxing and child process isolation for secure code validation. Implements LangGraph state machines with conditional routing.
VS Code / Cursor extension (TypeScript) that automates engineering narrative extraction from git diffs and module-level context, producing structured case studies with LLM-authored trade-off analysis and Mermaid architecture views for portfolio- and interview-ready design-review quality.
Let us build your next win
Reach out and I can walk you through architecture, delivery strategy, and product outcomes from day one.