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SYSTEMS NOMINALOPEN TO AI AGENT & FORWARD-DEPLOYED ROLES

AI Agent Engineer

I build multi-agent systems, agent harnesses, and MCP servers — plus the evals, observability, and infrastructure that make agents reliable in production.

LOCATION
San Francisco, CA
FOCUS
Multi-agent systems · MCP · Evals
CURRENT
AI Engineer @ Climb Together
SCALE
100K+ users in production
UPTIME
99.9%
STATUS
Open to agent & forward-deployed roles

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Engineer, forward-deployed

Hello! I'm Akshay, an AI agent engineer with 4+ years of full-stack & platform experience building scalable, real-time, production AI systems. I hold an M.S. in Computer Science from Clark University (GPA 3.8, May 2025) and a B.E. in Information Technology from the University of Mumbai (GPA 3.6).

Most recently I worked as an AI Platform Engineer at Softmax — building Claude Code plugins, MCP tool harnesses, and the observability and Kubernetes infrastructure behind a multi-agent RL training platform — while at Climb Together I drive architecture for an AI-powered onboarding platform serving 100K+ users.

I thrive forward-deployed: embedded with customers in fast-paced environments, owning problems from infrastructure to UI and shipping production systems on the ground.

Mission

Looking for AI agent, platform, and forward-deployed engineering roles where I can build multi-agent systems, harnesses, evals, and observability that ship production AI — embedded with customers, with high ownership.

AGENTS & LLM

  • Claude Code & MCP
  • Multi-Agent Orchestration
  • Evals & Tool Use
  • Anthropic / OpenAI APIs
  • LangChain
  • Hume AI
  • Multi-Agent RL
  • Prompt & Context Engineering

LANGUAGES

  • TypeScript / JavaScript
  • Python
  • Java
  • C#
  • SQL
  • C++

PRODUCT & BACKEND

  • Next.js / React
  • Node.js
  • Django
  • Spring Boot
  • GraphQL / REST
  • PostgreSQL (Drizzle ORM)

PLATFORM & INFRA

  • AWS (Lambda, S3, EC2)
  • GCP
  • Kubernetes & Helm
  • Terraform
  • Docker
  • GitHub Actions CI/CD
  • Datadog
  • OpenTelemetry
Akshay Kalapgar portrait
users scaled
100K+
OSS commits
1,180+
Claude Code skills
86
tests written
500+
production uptime
99.9%
cold-start latency
−50%

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Agents that think.

MULTI-AGENT ORCHESTRATION · TOOL USE

Shipped to production.

HARNESSES · MCP SERVERS · EVALS

Reliable at scale.

OBSERVABILITY · KUBERNETES · 99.9% UPTIME

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Where I've worked

Climb Together

May 2025 — Present

Full Stack Developer & AI Engineer San Francisco, CA

  • Built an AI-powered chatbot with LangChain, OpenAI, and Anthropic Claude; added voice via Hume AI for natural conversations.
  • Drove architecture for a distributed onboarding system (Next.js, Clerk, Twilio) scaling to 100K+ users with a 35% lift in verified opt-ins.
  • Built real-time data pipelines powering SMS nudges and behavior analytics, driving a 28% increase in feature re-engagement.
  • Drove migration to serverless (AWS Lambda) and PostgreSQL with Drizzle ORM, cutting cold-start latency by 50%.
  • Set up CI/CD with automated testing, linting, and environment-specific deploys to Vercel; instrumented Sentry error tracking and PostHog product analytics.
  • Led architectural reviews enforcing modular design, code ownership, and performance benchmarks.

Softmax

Nov 2025 — Apr 2026

AI Platform Engineer (Contract) San Francisco, CA

  • Built and maintained Claude Code plugins (86 skills across 6 plugins) and MCP tool harnesses powering AI-assisted dev workflows — autonomous PR review, code generation, and multi-file editing across the org.
  • Designed a production observability pipeline (Datadog + OpenTelemetry: OTLP receivers, structured collectors), replacing legacy monitoring for a multi-agent RL training platform.
  • Built a Kubernetes watcher service for AI job lifecycle orchestration — automated failure classification (timeout/OOM/policy_error), stuck-job reconciliation, and keep-main-green CI.
  • Engineered Terraform IaC for AWS (Lambda, Secrets Manager, IAM) powering GitHub webhook integrations and deploy pipelines.
  • Built a tournament system with daily reporting cronjobs, error-log surfacing, and diagnostic scoring to evaluate multi-agent RL policy performance.
  • Owned the data layer: 21-table PostgreSQL schema with Alembic migrations and SQLModel ORM; pre-deploy Helm migration jobs for zero-downtime releases.
  • Shipped 1,180+ commits to the Metta AI open-source multi-agent RL platform.

UMass Chan

May 2024 — Jan 2025

Software Engineer Intern Boston, MA

  • Led implementation of Factorbook 2.0 (React, Next.js, GraphQL), improving First Contentful Paint by 40%.
  • Integrated real-time dashboards with Prometheus to monitor distributed job queues and system health.
  • Wrote 500+ unit and integration tests with Jest and Playwright, maintaining 98%+ coverage.
  • Ran sprints, standups, and retros for a 6-person agile pod; built data-heavy genomic visualizations.

Capgemini

Aug 2021 — Aug 2023

Full Stack Engineer Mumbai, India

  • Built 10+ microservices (Java, Spring Boot) for BMW's global platform — 200K+ users, 99.9% uptime, and a 55% performance gain.
  • Built e-commerce modules with React, Redux, and Webpack, cutting page load times by 50%.
  • Migrated a legacy monolith to Vue.js, improving performance by 40%.
  • Owned CI/CD with Jenkins and Docker, reducing manual deploy effort by 70%; mentored 4 junior developers.

tag8

Aug 2020 — Aug 2021

Software Engineer Mumbai, India

  • Integrated Redis caching and Elasticsearch with a Django backend, cutting database query latency by 60% and powering real-time dashboards.
  • Lifted customer satisfaction by 25% through a UI/UX redesign of high-traffic flows.

KPMG

Jul 2020 — Dec 2020

Software Engineer Intern Mumbai, India

  • Shipped 30+ CRM feature enhancements in Java; contributed to distributed application architecture and data-handling compliance.

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Things I've built

DevDiagrams — Interactive Learning Platform screenshot
Next.jsTypeScriptSupabaseRadix UIOpenAIStripeTailwind CSS

DevDiagrams — Interactive Learning Platform

Interactive learning platform built with Next.js 15 and React, featuring comprehensive UI components from Radix UI. Integrated Supabase for authentication and real-time data management, with Stripe and Razorpay for payment processing. Includes PDF processing, AI-powered features using OpenAI, and real-time notifications — optimized with Vercel Speed Insights.

AI Chatbot Platform screenshot
Next.jsReactSupabaseLangChainHugging FaceOpenAIDocker

AI Chatbot Platform

Advanced AI chat application built with Next.js, React, and Supabase. LangChain conversational AI, Hugging Face models for specialized NLP tasks, and OpenAI integration for intelligent responses — with real-time analytics, conversation memory, and multi-agent orchestration.

Advanced ML Pipeline & Agent System

End-to-end ML pipeline with multi-agent orchestration: data preprocessing, PyTorch/TensorFlow training, evaluation pipelines, and deployment automation. Agent-based systems for automated data processing, model validation, and intelligent decision-making.

PythonLangChainHugging FacePyTorchMLflowKubernetes

AI-Powered Career Platform

Intelligent web application connecting Clark University students with alumni for career guidance — LangChain matching, Hugging Face resume analysis, and OpenAI-personalized recommendations. Reduced manual effort by 80%.

PythonDjangoPostgreSQLLangChainOpenAIDocker

Clark Marketplace

React Native app for Clark University students to buy, sell, and trade within a secure campus ecosystem — authentication, listings, search filters, and real-time messaging on AWS.

React NativeAWSNode.jsExpressAmazon RDS

AWS Serverless Architecture

Scalable, cost-effective cloud-native applications built for the AWS Developer Associate certification — Lambda, DynamoDB, and API Gateway patterns run the same way in my production work.

AWS LambdaDynamoDBAPI Gateway

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Contributions in production

Softmax

Metta AI — Multi-Agent RL Platform

1,180+ commits to an open-source multi-agent reinforcement-learning platform: Claude Code plugins (86 skills across 6 plugins), MCP tool harnesses, a Kubernetes job-lifecycle watcher with automated failure classification, a Datadog + OpenTelemetry observability pipeline, and the 21-table PostgreSQL data layer with zero-downtime Helm migrations.

PythonClaude CodeMCPKubernetesDatadogPostgreSQL

Climb Together

Goldi — AI Career Assistant

Core engineer on an AI career assistant that teaches students a better way to land internships and jobs. Conversational AI with LangChain, OpenAI, and Anthropic Claude; natural voice via Hume AI; distributed onboarding architecture that scaled to 100K+ users. Supported by Google.org and Walmart.org.

Next.jsTypeScriptLangChainAnthropic ClaudeHume AITwilio

UMass Chan Medical School

Factorbook 2.0 — Genomic Research Platform

Led implementation of a genomic research platform (React, Next.js, GraphQL) — 40% faster First Contentful Paint, data-heavy genomic visualizations, Prometheus dashboards for distributed job queues, and 500+ tests at 98%+ coverage.

Next.jsReactGraphQLVISXPrometheusPlaywright

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Certifications

IBM · Coursera

IBM AI Developer

Verify

IBM · Coursera

IBM Data Science

Verify

Unity

Game Development in Unity (C#)

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What people say

As the main UI developer on the project, Akshay undertook a very comprehensive overhaul of one of our resources, Factorbook, and modernized it using Next.js and MUI. He completed the redesign of Factorbook fully from the ground up, and was responsible for all parts of the frontend of the application. Very impressive and complex project. He was a team player and was always very receptive to feedback and looking for ways to improve the site and his own skills.

Jonathan FisherSoftware Engineer, UMass Chan Medical School

Having worked with Akshay for 2 years, I must say he is an excellent professional. I am impressed by his work ethics, communication skills, coding skills, exceptional problem-solving skills. He truly has the skills to interact with business clients. But what makes him stand out is his willingness to help others. I have no hesitation recommending him to potential employers.

Nisha IndapureLead Software Engineer

Great colleague who is very open minded when it comes to both personal and professional development in the software engineering industry. Akshay is always going above and beyond, ready to tackle new and difficult tasks, and ready to take responsibility. Very fast onboarding to the team, great attention to detail and a critical eye to improve things make him a great addition to any team!

Leon WöhrlTech Lead, Capgemini

I studied with Akshay at the University of Mumbai, and he was always someone you could count on — smart, focused, and a great team player. He's technically strong and quick to pick up new concepts, and I'm confident he'll be a great asset wherever he works next.

Amey WaghmodeData Scientist, Children's Mercy

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Ready to ship agents that work?

I'm open to AI agent, platform, and forward-deployed engineering roles — or a conversation about multi-agent systems, MCP servers, evals, and shipping production AI. Reach out and I'll get back to you quickly.