I’m an AI-focused software engineer who builds production backend services, distributed systems, and AI-powered applications, with a strong emphasis on reliability, observability, and measurable performance improvements. I enjoy owning systems end-to-end—from architecture and API design through deployment and incident debugging—so teams can move faster with confidence. In recent roles, I’ve designed AI-assisted debugging and code review harnesses, built and optimized data pipelines and AI/GraphRAG components, and improved real-time user experiences by tackling concurrency and synchronization challenges. I also love turning complex telemetry and analytics needs into practical dashboards and tools that reduce investigation time and improve overall latency, efficiency, and UX.

AKASH VISHWAKARMA

I’m an AI-focused software engineer who builds production backend services, distributed systems, and AI-powered applications, with a strong emphasis on reliability, observability, and measurable performance improvements. I enjoy owning systems end-to-end—from architecture and API design through deployment and incident debugging—so teams can move faster with confidence. In recent roles, I’ve designed AI-assisted debugging and code review harnesses, built and optimized data pipelines and AI/GraphRAG components, and improved real-time user experiences by tackling concurrency and synchronization challenges. I also love turning complex telemetry and analytics needs into practical dashboards and tools that reduce investigation time and improve overall latency, efficiency, and UX.

Available to hire

I’m an AI-focused software engineer who builds production backend services, distributed systems, and AI-powered applications, with a strong emphasis on reliability, observability, and measurable performance improvements. I enjoy owning systems end-to-end—from architecture and API design through deployment and incident debugging—so teams can move faster with confidence.

In recent roles, I’ve designed AI-assisted debugging and code review harnesses, built and optimized data pipelines and AI/GraphRAG components, and improved real-time user experiences by tackling concurrency and synchronization challenges. I also love turning complex telemetry and analytics needs into practical dashboards and tools that reduce investigation time and improve overall latency, efficiency, and UX.

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Experience Level

Expert
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Expert
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Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Advanced
Hindi
Advanced

Work Experience

Software Engineer at Meta Bellevue
February 1, 2025 - July 31, 2026
Architected and delivered multiple production systems for messaging, notifications, and developer/ops tooling. Built an AI notification debugging agent using Claude and MCP orchestration to trace delivery failures across 18+ telemetry sources, adding controlled tool execution and targeted log retrieval to reduce high-priority investigations from days/weeks to hours. Engineered an AI code-review harness across iOS/Android messaging stacks with structured validation, shadow evaluation, feature-gated rollout, and observability (561 reviews in 30 days). Reduced slow message request slow-open rates overall and for creators via a shared C++ synchronization engine with concurrency-safe coordination and delta buffering. Shipped a React/JavaScript observability dashboard using Relay GraphQL unifying APIs, logs, and 18+ telemetry tables, cutting triage time by 80%. Implemented multi-reaction support across GraphQL, caching, realtime deltas, and optimistic UI while reconciling out-of-order update
Software Development Engineer Intern at IntelligentTag Inc.
May 1, 2024 - December 31, 2024
Owned customer-facing delivery of a GraphRAG platform from requirements to deployment. Migrated enterprise relational data into Neo4j, designed graph schemas, and built ingestion pipelines for natural-language analytics. Optimized hybrid GraphRAG in Neo4j using LangChain and OpenAI (vector search, Cypher traversal, reranking) with evaluations and profiling to improve grounding and reduce latency from ~6 seconds to ~1 second. Productionized GraphRAG/cluster/VIP-classification workloads as FastAPI REST services behind Gunicorn on Linux and integrated Python inference endpoints with Node.js microservices via reusable API contracts, including logging, monitoring, and CI/CD for reliable operations. Delivered customer segmentation using K-means and trained a PyTorch VIP classifier with SMOTE and MLflow tracking, improving accuracy by ~15% and enabling personalized marketing workflows.
Software Engineer Intern at Vermont Slauson Economic Development Corporation
February 1, 2024 - May 31, 2024
Owned delivery of a CRM platform using React, Node.js, MongoDB, and AWS. Designed REST APIs, RBAC, authentication middleware, and operational workflows that replaced manual processes and eliminated approximately 50 hours of administrative work each week.
Full Stack Engineer at Aalu Glass System (Enterprise)
November 1, 2021 - November 30, 2022
Led end-to-end development and production operations for a workforce platform using React, TypeScript, Node.js, PostgreSQL, Docker, AWS EC2/RDS, and Nginx. Built automations for payroll and attendance workflows, reducing cycle time from multiple days to hours and supporting reliable operational delivery.

Education

M.S. Computer Science at University of Southern California
January 1, 2024 - December 31, 2024
B.E. Information Technology at Savitribai Phule Pune University
January 1, 2022 - December 31, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Media & Entertainment, Professional Services, Education