Shantanu Sharma

Work Experience

Senior Software Engineer | Compass | New York, NY | Apr 2023 – Present

  • Spearheaded cross-functional development efforts with 8 engineers distributed across 4 global time zones to create scalable lead generation verticals, seamlessly integrating 100+ real-estate data sources into Compass' core CRM infrastructure and its downstream ML recommendation systems serving 30,000+ agents.
  • Architected MCP-compliant REST APIs for contact management workflows (creation, verification, agent-matching) processing millions of contacts, enabling downstream AI agent integrations and Likely-to-Win scoring while maintaining backwards compatibility with existing CRM systems.
  • Scaled internal data infrastructure to power Compass' Likely-to-Win ML model — a personalized recommendation system combining property sale probability with agent win probability, driving a 39% increase in outreach on new recommendations and 16% on re-ranked existing ones (A/B tested), expanding into orphan matching, agent referrals, and seller-side lead routing
  • Catalyzed over $2M in quarterly GCI (Gross Commission Income), directly funding product, data, and engineering initiatives — contributing to Compass securing the #1 US brokerage ranking (RealTrends, 2022–2025) by closed sales volume.
Technologies: TypeScript, NodeJs, Kafka, Golang, Postgres, React, Databricks, MCP-compliant API Design, Datadog, Kubernetes, AWS (EKS, RDS, Lambda, SQS, SNS, S3, CloudWatch)

Software Engineer II | Compass | New York, NY | Jul 2021 – Mar 2023

  • Engineered the Compass Leads Program, an intelligent and fair routing mechanism for the company's critical revenue-generating leads funnel, ensuring rapid and optimal matching of clients to real estate agents and directly contributing to a multi-digit percentage increase in commissions revenue
  • Built the ingestion pipelines and underlying database that captured agent-property geo-matching signals, homeowner relationship strength, communication recency, and historical performance metrics — powering Compass' Likely-to-Sell ML recommendation model which contributed over $150MM per year in incremental revenue since 2021
Technologies: TypeScript, NodeJs, gRPC, Postgres, Golang, React, Datadog, Kubernetes, AWS (EKS, RDS, Lambda, SQS, SNS, S3, CloudWatch)

Web Developer | WebMD | New York, NY | Sep 2019 – Jun 2021

  • Co-founded and developed WebMD's Helios platform, a robust enterprise framework engineered with a comprehensive modern stack: Vue.js, Node.js, NGINX, Docker, Kubernetes, GitLab CI, and the ELK stack for centralized observability
  • Successfully migrated 95% of legacy consumer frontend applications and all associated backend services to the new Helios platform. Cloudflare CDN and advanced monitoring with Prometheus, Grafana, and Google PageSpeed Insights to achieve substantial improvements in SEO, Core Web Vitals, and ad revenue
Technologies: VueJs, Node.js, TypeScript, NGINX, Docker, Kubernetes, Gitlab CI, EFK Observability, Prometheus, Grafana, Google Pagespeed Insights

Associate Web Developer | WebMD | New York, NY | Jun 2018 – Aug 2019

  • Sole developer and maintainer of WebMD's Healthcare AI Assistant on Google Assistant and Alexa devices, leveraging conversational AI and NLU to answer 72% of healthcare voice queries about illness symptoms, medication information, and treatment guidance for millions of users
Technologies: NodeJS, TypeScript, Google Dialogflow, HTML, CSS, JS, Alexa Skills Kit

Sr. Web Dev Intern | WebMD | New York, NY | Jun 2017 – Mar 2018

  • Independently proposed and designed a backward compatible testing framework which reduced the running time of all WebMD's tests from 14hrs to just 1hr by asynchronously running multiple instances of Omniture analytics tests on distributed self-configured selenium slaves
  • Developed Mucinex-sponsored health chatbot that generated multi-million dollar revenue stream through $2 CPC (cost-per-click) advertising model, serving thousands of daily health queries
  • Designed an application for the WebMD Spider Search Platform and enabled WebMD users to create on-demand APIs and test using a self-service tool
Technologies: NodeJS, Babel, WebdriverIO, Chrome Devtools Protocol, Jenkins, Windows Server, CentOS, HTML, CSS, JavaScript, JQuery, XSLT, Adobe Analytics-Omniture, MongoDB, AngularJS, SailsJS, Apache SOLR, IBM Urbancode Deploy

Backend Web Developer | New Jersey Institute of Technology | Newark, NJ | Jan 2018 – May 2018

  • Developed features for a P2P learning platform for students to create and grade assignments for each other
  • Improved performance by implementing techniques like data archiving and caching
  • Integrated logs into the distributed ecosystem
Technologies: ElasticSearch, Fluentd, Kibana, NodeJS, Babel, Redis, ExpressJS, MySQL, NGINX

Research Assistant | Shri Ramdeobaba College of Engineering | Nagpur, India | Summer 2015

  • Developed Python programs to automate specification-based testing on operations performed by FPGA interfaced with Raspberry Pi
Technologies: Python, Raspberry Pi

Education

  • M.S. in Software Engineering | New Jersey Institute of Technology | GPA: 3.5/4 (42 credits) | May 2018
  • B.E. in Computer Science | Shri Ramdeobaba College of Engineering | May 2015

Git Activity

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Achievements

  • Sole recipient of the "Avengers team player" award at the Compass Annual All-Hands meeting. (Year 2022)
  • Awarded the highest honor of "Engineer of the Year" at WebMD's Annual Tech All-Hands. (Year 2018)
  • Recognized as the "Upcoming leader of the Year" during WebMD's Annual Tech All-Hands. (Year 2019)
  • Engineered an integration with the DevTools protocol within an open-source Selenium library, enabling support for multiple asynchronous Google Chrome instances for test runs.
  • Scored 98% to become an Oracle Certified Java Professional (1Z0-851) in 2016 and have earned over 12 certificates from Massive Open Online Courses.

Projects

Better Call Claude & Dear Claude - MCP Servers for Claude| Jan 2026

  • Built open-source MCP servers enabling bi-directional communication with Claude Code via voice calls, SMS, and WhatsApp, plus webhook-driven integrations with GitHub, Linear, Jira, GitLab, Notion, and Obsidian
  • Securely delivered the same agentic integration capabilities that OpenClaw later popularized, weeks before its viral release, built entirely on Anthropic's official Claude Agent SDK without violating TOS
Technologies: TypeScript, Bun, Hono, Claude Agent SDK, MCP SDK, Twilio/Telnyx APIs, OpenAI Whisper, Tailscale, Octokit

Watch And Learn (WAL) - AI+ML Video Processing Pipeline | Jul 2025 – Present

  • Event-driven multi-agent, multi-service AI+ML video-to-markdown processing pipeline on Kubernetes with LangGraph orchestration for agent routing, tool-use, and retrieval workflows
  • Ongoing platform engineering sandbox for practicing latest infra innovations: active-active multi-region, infra portability with IaC, policy-as-code, eBPF-based observability, and Kubernetes HPA/VPA autoscaling
Technologies: TypeScript, Golang, Python, LangGraph, Kubernetes, Kafka, vLLM, Ray, Pulumi, eBPF, AWS

Unified Auth Gateway for Microservices | Aug - Sept 2025

  • Built serverless auth gateway on Cloudflare Workers with OAuth at the edge, using KV-cached sessions to reduce service onboarding time
Technologies: Cloudflare Workers, Hono, Better-Auth, TypeScript, OAuth, Cloudflare KV

Optix - Options Flow Analytics | Jul - Aug 2025

  • Built options flow scanner aggregating institutional trades via Polygon.io API with AI analysis and automated reports
Technologies: React, TypeScript, D3.js, PostgresSQL, Puppeteer, Docker

Technical Skills

  • Languages and Frameworks: Python, Golang, JavaScript, NodeJS, TypeScript, HTML, CSS, VueJS, React
  • Databases: PostgreSQL, Redis, MongoDB, DynamoDB
  • Monitoring & Analytics: Datadog, Prometheus, Grafana, New Relic, Google Analytics, Adobe Analytics (Omniture), Segment, RudderStack, Databricks
  • Message Queuing: Kafka, AWS SNS/SQS, Google Pub/Sub
  • Search & Data: Elasticsearch, OpenSearch, Apache SOLR
  • Testing: Puppeteer, Playwright, Cypress, Vitest, WebdriverIO, Selenium, Jest/Mocha
  • API Design: REST, GraphQL, Protocol Buffers, HTTP/3
  • ML & AI Tools: LangGraph, LangChain, MCP (Model Context Protocol), CrewAI, AutoGen, Hugging Face, Scikit-learn, PySceneDetect, NumPy, Pandas, Matplotlib, Pydantic
  • Architecture & Patterns: Microservices Architecture, Domain-Driven Design (DDD), CQRS, Event-Driven Architecture, RBAC/reBAC/ABAC
  • DevOps & Cloud: Docker, Kubernetes, AWS, GitHub, GitLab CI/CD, NGINX
  • Collaboration Tools: Atlassian Jira, Confluence, Agile/Scrum