🔝 _____ 𝑻𝒐𝒑 1% 𝑺𝒆𝒏𝒊𝒐𝒓 𝑴𝒐𝒃𝒊𝒍𝒆 𝑨𝒑𝒑 𝑫𝒆𝒗𝒆𝒍𝒐𝒑𝒆𝒓 _____🔝 🏆 𝑺𝒖𝒄𝒄𝒆𝒔𝒔𝒇𝒖𝒍 𝑳𝒂𝒖𝒏𝒄𝒉 𝒐𝒇 𝑺𝒑𝒐𝒓𝒕𝒔 & 𝑯𝒆𝒂𝒍𝒕𝒉𝒄𝒂𝒓𝒆 𝑨𝒑𝒑𝒔 🏆 🌟 𝑷𝒐𝒍𝒊𝒔𝒉𝒆𝒅 𝑼𝑿 + 𝑨𝑰 𝑭𝒆𝒂𝒕𝒖𝒓𝒆𝒔 + 𝑺𝒆𝒂𝒎𝒍𝒆𝒔𝒔 𝑷𝒖𝒃𝒍𝒊𝒔𝒉𝒊𝒏𝒈 🌟 I’m a Philippines-based Senior Mobile App Developer with 8+ years of experience building high-performance, user-centric mobile applications for Sports and Healthcare industries. I specialize in crafting scalable cross-platform apps using React Native, Flutter, Firebase, Supabase, and Claude AI integration that deliver exceptional user experiences and real business value. 𝙄 𝙗𝙧𝙞𝙙𝙜𝙚 𝙩𝙝𝙧𝙚𝙚 𝙘𝙧𝙞𝙩𝙞𝙘𝙖𝙡 𝙬𝙤𝙧𝙡𝙙𝙨: - 𝐒𝐩𝐨𝐫𝐭𝐬 𝐀𝐩𝐩𝐬 → Real-time tracking, performance analytics, and community features with maps. - 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐀𝐩𝐩𝐬 → Secure patient tracking, wellness monitoring, and AI-powered insights. - 𝐀𝐈 + 𝐌𝐨𝐧𝐞𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧 → Claude LLM integration for intelligent features combined with Stripe subscriptions and analytics. 💡 𝙒𝙝𝙖𝙩 𝙄 𝘿𝙚𝙡𝙞𝙫𝙚𝙧 ✅ 𝐂𝐫𝐨𝐬𝐬-𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐌𝐨𝐛𝐢𝐥𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Native-feeling apps with React Native and Flutter for iOS & Android Progressive Web Apps (PWA) with offline functionality and seamless performance ✅ 𝐒𝐩𝐨𝐫𝐭𝐬 & 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 GPS-enabled sports tracking apps with Google Maps API integration Healthcare solutions with secure data handling and wellness features Real-time dashboards for fitness metrics and patient monitoring ✅ 𝐀𝐈 & 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬 Claude LLM integration for personalized coaching, health insights, and smart recommendations Advanced push notifications and in-app subscriptions via Stripe ✅ 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 Firebase & Supabase as BaaS for realtime database, auth, and storage Integration with Sentry (error tracking), PostHog & Mixpanel (analytics) RESTful APIs, SQL databases, and complete CI/CD pipelines ✅ 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐢𝐧𝐠 & 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞 Full App Store and Google Play Store publication with compliance End-to-end delivery including testing, deployment, and post-launch support 🔧 Stack Snapshot Mobile: React Native • Flutter BaaS: Firebase • Supabase AI: Claude LLM Integration Payments: Stripe • In-App Subscriptions Maps & Features: Google Maps API • Push Notifications • Offline Functionality Analytics & Monitoring: PostHog • Mixpanel • Sentry Others: RESTful API • SQL • CI/CD • PWA 🤝 𝙒𝙝𝙮 𝘾𝙡𝙞𝙚𝙣𝙩𝙨 𝘾𝙝𝙤𝙤𝙨𝙚 𝙈𝙚 ✅ Client Timezone-based: Strong English communication and high availability ✅ Deep domain expertise in Sports & Healthcare app development with Claude AI ✅ Proven track record launching successful apps on both Play Store and App Store ✅ Full-cycle delivery from product design to production with modern analytics and monitoring 🔑 Skills (SEO Optimized) Senior Mobile App Developer • React Native Expert • Flutter Development • Firebase • FCM ( Firebase Cloude Messaging ) • Google Could Platform • Revenuecat • Profile Creation • Supabase • Claude AI Integration • Stripe Payments • Sports App Development • Healthcare App Development • Google Maps API • In-App Subscriptions • Push Notifications • Progressive Web App • Offline Functionality • RESTful API • API Integration • Product Development • Mobile App Development • LLM Integration • Real-time Applications • App Store Publishing • Google Play Publishing • CI/CD Pipelines • Sentry Monitoring • PostHog Analytics • Mixpanel • SQL Database • Cross-Platform Development • React Native Firebase • Flutter Firebase

I build end-to-end data platforms — from raw source ingestion through dbt transformation to production dashboards — on Snowflake, BigQuery, Databricks, Sigma Computing, and Looker. One consultant who owns the full stack: ETL pipelines, cloud data warehouse, data modeling, and the BI reporting layer your team actually trusts. Founder of Warehows Analytics. Official partner with Snowflake, dbt, Databricks, and Sigma Computing. 32+ projects delivered across SaaS, e-commerce, fintech, healthtech, cybersecurity, and private equity. Top Rated Plus with 100% client satisfaction. $2.3M+ saved in client infrastructure costs. Stack: Snowflake, BigQuery, Databricks, dbt, Airflow, Fivetran, Airbyte, Hevo, Sigma Computing, Looker, Power BI, Superset, Streamlit, Python, SQL, FastAPI What I have delivered: - Fortune 500 — Oracle to Snowflake migration. 10M+ records/day CDC pipelines. Query times down 85%, costs down 60%. - $50M e-commerce brand — unified Google Ads, Facebook, email, and organic data. Single attribution model. ROAS from 3:1 to 7:1. - Finance SaaS (finsightsai.tech) — multi-tenant embedded analytics on Snowflake + Sigma serving 80+ customers. Sub-second queries. Built end to end: ingestion, dbt models, UI, LLM-powered insights. - Multi-brand e-commerce (4 brands) — Shopify, WooCommerce, QuickBooks, and ad platforms consolidated into Databricks + Looker. +65% marketing ROI. 80% less reporting time. - Cybersecurity startup — BigQuery warehouse consolidating Salesforce, RB2B, and product data. dbt-modeled attribution resolved three conflicting definitions of "converted lead." - Creative & PR agency — 50K+ customer reviews processed. AI sentiment analysis. Sigma dashboards. Client onboarding from 6 weeks to 1 week. - Veterinary clinic group — manual Excel to live cross-clinic dashboards. Airbyte + Airflow + dbt + Snowflake + Sigma. 10x faster onboarding. - Energy PE firm — Snowflake Cortex Analyst. Natural-language queries over sensitive portfolio data. - eMarketer — Snowflake reporting replacing 3-week manual Excel process. Runs daily, untouched. Services: - Cloud data warehouse design (Snowflake, BigQuery, Databricks) - ETL/ELT pipelines (Fivetran, Airbyte, Hevo, custom Python) - dbt transformation with testing, documentation, and semantic layer - BI dashboard development (Sigma, Looker, Power BI, Superset, Streamlit) - Embedded analytics for SaaS products (multi-tenant, row-level security) - Marketing attribution and revenue reporting - Data migration from legacy systems (Oracle, Talend, on-prem) - AI/LLM integration (RAG, conversational analytics, Cortex Analyst) Why this matters: data projects fail when nobody owns both ends. The pipeline engineer builds what was specified. The analyst reports what was delivered. Nobody checks whether either matches what the business needed. I hold the full picture — from raw source to executive dashboard — so the numbers your team sees are the numbers your finance team agreed to. Every model has tests. Every pipeline has monitoring. Every dashboard traces to a definition settled before the first chart was built. Send me a message. I respond the same day. Top Rated Plus · 32+ Projects · Snowflake Partner · dbt Partner · Databricks Partner · Sigma Computing Partner

Struggling to unlock actionable insights from your data and analytics? My name is Erin, a 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝, 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 𝐆𝐓𝐌, 𝐋𝐨𝐨𝐤𝐞𝐫 𝐒𝐭𝐮𝐝𝐢𝐨 & 𝐆𝐨𝐨𝐠𝐥𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐱𝐩𝐞𝐫𝐭 with 𝟐9+ 𝐲𝐞𝐚𝐫𝐬 in tech and over $𝟔50𝐤 𝐞𝐚𝐫𝐧𝐞𝐝 on Upwork helping businesses optimize analytics, tracking, and compliance for measurable growth. 📊 𝐇𝐎𝐖 𝐈 𝐂𝐀𝐍 𝐇𝐄𝐋𝐏 𝐘𝐎𝐔 🚀 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 Expert setup and configuration of Google Analytics, GA4, Google Tag Manager, and other leading analytics tools to ensure accurate data collection. 📈 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 & 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫 𝐓𝐫𝐚𝐜𝐤𝐢𝐧𝐠 Advanced tracking strategies to measure user interactions and optimize e-commerce and website performance. 📊 𝐂𝐮𝐬𝐭𝐨𝐦 𝐑𝐞𝐩𝐨𝐫𝐭𝐬 & 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 Design and delivery of insightful Looker Studio dashboards tailored to your business goals and KPIs. 🔍 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐀𝐮𝐝𝐢𝐭𝐬 & 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 Comprehensive audits and seamless migrations to improve your analytics infrastructure and data accuracy. 🛡️ 𝐂𝐨𝐨𝐤𝐢𝐞 𝐂𝐨𝐧𝐬𝐞𝐧𝐭 & 𝐏𝐫𝐢𝐯𝐚𝐜𝐲 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 Implementation of consent management platforms like OneTrust to ensure compliance with GDPR and other data privacy regulations. ============================ 🌟🌟🌟🌟🌟 ❝While we only had a 30 minute consult, Erin immediately understood our challenges and provided us with a plan that we were able to understand, execute, and implement. Cookieless attribution and Serverless server-side analytics implementation is not for the feint of heart! We had (and have) some tall demands, and she showed us how cool it is to finally know and understand what people are doing on our website. Now that we have seen what can be done, we are hooked and will definitely be hiring her again. She's already made up for the fee in improved engagement on our website and more downloads of our chrome extension. We literally just did what she advised us to do and it just worked! ...And we have reference documents!❞ – Client ============================ 🌟🌟🌟🌟🌟 ❝Erin did fabulous work troubleshooting a tangled web of GTM and GA4 issues and helping us stand up some sane reporting.❞ – Client ============================ 🌟🌟🌟🌟🌟 ❝Erin was easy to work with. She was prompt, professional, and articulate. We look forward to hiring her again!❞ – Client ============================ 🎖 Google Ads - Measurement Certification 🎖 Google Analytics Individual Qualification Explore my portfolio for detailed case studies and successful projects. ============================ ➤ 𝗟𝗘𝗧'𝗦 𝗧𝗔𝗟𝗞 𝗔𝗡𝗔𝗟𝗬𝗧𝗜𝗖𝗦 & 𝗗𝗔𝗧𝗔 Need expert help with Google Analytics, GTM, or Looker Studio? 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 𝘁𝗼𝗱𝗮𝘆 for a free consultation and tailored analytics solutions. I typically respond within 6 hours and am ready to support your data-driven success. ============================ 🛠️ 𝐓𝐎𝐎𝐋𝐒 & 𝐓𝐄𝐂𝐇𝐍𝐎𝐋𝐎𝐆𝐘 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 • Google Analytics • Adobe Analytics • Amplitude Analytics • Google Search Console • Posthog • Mixpanel • Matomo • Usermaven • Woopra 𝐓𝐚𝐠 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 & 𝐂𝐨𝐧𝐬𝐞𝐧𝐭 • Google Tag Manager • Tealium Tag Manager • OneTrust • CookieBot • Cookie Script 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 & 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 • Looker Studio • Google OpenRefine 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐂𝐥𝐨𝐮𝐝 • BigQuery • Google Cloud Platform (GCP) • Rudderstack • Stape 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 & 𝐂𝐌𝐒 • Shopify • WordPress • WooCommerce • Magento • SAP Hybris 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 & 𝐂𝐑𝐌 𝐓𝐨𝐨𝐥𝐬 • Google Ads (Measurement) • Facebook & FB CAPI • Instagram • Twitter • Pinterest • LinkedIn • Youtube • Vimeo • Klaviyo • Marketo • Hubspot • Monday CRM 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 & 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 • JavaScript • SQL • HTML & CSS • PHP, Perl & Bash

I've spent years doing the kind of work that keeps business operations honest, finding the right data, making sense of it, and building systems around it so teams don't have to repeat themselves every week. My background sits across a few areas that tend to overlap more than people expect: data analysis and reporting, lead research, workflow automation, and general operations support. Most of my clients have come to me because something wasn't working cleanly: a reporting process that took too long, a lead list that needed building from scratch, or a workflow that was still running on manual effort. That's the kind of problem I actually enjoy solving. Here's where I spend most of my time: Data Analysis & Reporting I work with tools like Metabase, Excel, and Google Sheets to build reporting systems that people actually use. Not just dashboards that look good in a demo, but ones that track the right things and make it easy to spot what's going wrong before it becomes a real problem. I also work with event analytics tools like PostHog for product and user behavior tracking. Lead Generation & Research I've built lead lists across different industries using tools like Clay, Apollo, and manual research workflows. The focus is always on quality over volume — verified contacts, correct data, properly organized and ready to use. I also do market research, competitor analysis, and internet research for clients who need reliable information fast. Workflow Automation I build automation workflows using tools like n8n, Zapier, and ActiveCampaign. Usually this comes up when a client realizes their team is doing the same thing five times a week and there's no reason for it. I map the process, find what can be automated, and build something that runs without babysitting. Virtual Assistance & Ops Support When clients need someone reliable to handle the operational side — CRM updates, data entry, document processing, research tasks, ClickUp management — I handle it with the same attention I'd give a bigger project. Small tasks done sloppily create big problems. I take them seriously. I've worked with startups, small businesses, and lean teams that needed someone who could plug in quickly and figure things out without a lot of handholding. I'm not the freelancer who needs three briefing calls before starting. Send me the brief, I'll ask what I need to ask, and I'll get to work. If any of this sounds like what you're looking for, feel free to message me.

I'm a React Native + Supabase engineer who builds and ships production mobile apps. 5+ years shipping React Native. On my most recent flagship — Stirden, now live on the App Store — I layered an agentic-coding workflow (Claude Code + Cursor under my own architecture, specs, and senior review) on top of that hands-on RN experience. Real engineering judgment, not vibe coding. Production-grade output, App Store-ready. Flagship — now live on the App Store: Stirden: AI Mentor for Men (Health & Fitness; iOS; the live App Store link is in my portfolio below). Production iOS AI mentor + accountability coach. I started the project, designed the frontend and backend architecture from scratch, and owned all engineering work — the React Native / Expo client (onboarding quiz, AI mentor with realtime token issuance, daily challenges, streaks, dashboards, Superwall paywalls + live native IAP) and the Supabase backend (Postgres schema and versioned SQL migrations, RLS, Auth, Storage, Edge Functions in Deno for push delivery, AI realtime tokens, cron-driven personalized notifications, Superwall webhooks, receipt validation). Set up every third-party integration in-app and on Supabase: AppsFlyer, Superwall + native IAP, PostHog with session replay, Meta SDK. Live in the US/global store since January 2026; ten production releases shipped through a deterministic CI promotion pipeline. Roughly 70% of the app code was AI-generated under my architecture and review, with custom Claude agents wired into the repo for test authoring and per-PR review. 5+ years building React Native. 8+ apps shipped across consumer, healthtech, fintech, IoT, and corporate domains. Selected earlier work: Emulait — consumer-health iOS + Android app; near-complete rebuild + BLE device-control foundation for the company's connected hardware. Healthtech apps under NDA — biometric login, PIN-locked flows, secure storage. Cross-platform social apps shipped to App Store + Google Play. Corporate platforms with private/restricted distribution. On Stirden I owned the AI integration end-to-end — AI mentor with realtime token issuance, LLM-generated personalized notifications, App Store-safe key handling — and that's the kind of work I now take on. The agentic-coding workflow is recent and is the one I now bring to new projects. What I ship: - AI mobile features integrated into the app (Claude / OpenAI, realtime tokens, LLM-generated personalized push, App Store-safe key handling) — demonstrated on Stirden - Full Supabase backends (schema + migrations + RLS + Edge Functions in Deno + pg_cron + receipt validation) - Subscription monetization (Superwall + react-native-iap + webhook handling) - BLE pairing & device-control foundations, biometric login, secure storage — for hardware-aware and sensitive-data apps - Cross-platform RN releases — App Store + Google Play submission, store-compliant builds, ongoing version releases on the same codebase - Agentic-coding workflow setup for your team — Claude Code agents wired into the repo, your devs keep shipping after I leave Stack: React Native, Expo, TypeScript (strict), Expo Router, Zustand, Unistyles, Reanimated, FlashList, Supabase (Postgres + Auth + Storage + Edge Functions), PostHog, AppsFlyer, Meta SDK, Superwall, react-native-iap. How I work: spec-driven, weekly demos, written status updates, conventional commits. Fixed-bid where scope is clear, hourly where exploratory. I reply within 4 hours during EU working time. Send the brief. I'll come back with scope, a rough timeline, and a fixed estimate where possible.

I'm a Product Builder who designs and builds thoughtful digital products. I help businesses transform ideas into websites, web applications, internal tools, dashboards, and customer experiences that are as functional as they are memorable. My approach combines product strategy, user experience, design, and engineering. Rather than focusing on just making something look good, I work to understand the business behind it so the final product solves real problems, earns trust, and creates a better experience for the people using it. Professionally I've spent years leading software teams and digital products across healthcare and data-driven organizations. Outside of work, I enjoy building products from the ground up and continually exploring new technologies, design patterns, and ways to improve the experience. Travel, storytelling, and craftsmanship have had a big influence on how I think about design. The best experiences leave an impression long after they're over. I believe great digital products should do the same.

Note: Pls scroll down to the end to see my employment history ⦿ Work: I assist small to mid-sized enterprises with data engineering, business intelligence, and visualization/Reporting. I don’t believe in a one-size-fits-all solution for Data Management. I help my clients make the right choice. After completion of a project, I provide detailed documentation to enable you to continue maintaining your data product(s). ⦿ My Skills: Data Visualization/Reporting Tools: Tableau, SSRS, Cognos 10.2, Cognos 11.1 Analytics,Google Data Studio, Grafana Databases: SQL Server, mySQL, postgreSQL, Azure, AWS Redshift Cloud Technologies: AWS AppFlow, AWS S3, AWS Lambda ETL Development Tools: SSIS, T-SQL, Cognos Framework Manager, Cognos Transformers Coding languages: Python, R Agile Project Management Platform: Atlassian (JIRA) Source Control: Git Survey Tools: Qualtrics No Code/Low Code Workflows: Zapier, Notion Data Sources: IBM MAPICS, Google Analytics, Epicor, Anaplan, Google Sheets, CSV/Excel files, Microsoft SQL Server, PostgreSQL, S3, Redshift, RDS API Integrations: Mixpanel, Twilio Segment, CustomerIO, Posthog, Salesforce, Qualtrics, Stripe, Saleor, MedusaJS ------------------------------------------------------ ⦿ Work Highlights: • Designed and set up the entire Redshift database architecture, and built cloud data pipelines to integrate tools like Mixpanel, Segment, Customer.io for seamless analytics ingestion. Also set up data pipelines from order management systems such as MedusaJS and Saleor. • Developed an image-processing algorithm using OpenCV and Python. • Developed a workflow using Notion and ChatGPT to generate detailed scripts for social media advertising. • Used Zapier to integrate multiple APIs to trigger jobs and to post data onto platforms. • Created dashboards with Grafana and Tableau, enabling stakeholders to monitor KPIs and take data-driven actions. • Automated reporting workflows using Microsoft GraphQL and custom Python scripts. • Architected an end-to-end Azure reporting solution, automating SFTP ingestion and email-based report distribution. • Custom built call center analytics performance tool to reduce call volume using Python & Tableau. o Built a tool in Tableau comprising multiple dashboard views where users could decide the type of comparisons they wanted to see. o Built Python scripts to pull raw data from multiple Google Analytics properties periodically, combine data and feed the data to Tableau on a schedule. o Used AWS AppFlow and AWS S3 to export data from Salesforce on a schedule. Built Python scripts to clean this data and run multiple machine learning algorithms (Ensembles) to perform Sentiment Analysis. The Python scripts were setup to allow for constant training based on verified data. This data was then fed to Tableau on a schedule. • Developed Dashboards in Tableau to gauge Chatbot effectiveness • Used AWS AppFlow to gather chatbot data and store it in S3 for historical tracking. This data was then visualized for various metrics like Retention Rate, Chatbot Conversation Length, etc. • Performed Hypothesis testing to determine the chatbot's launch effectiveness (i.e., to determine if the introduction of the chatbot had a significant effect on call volume reduction) • Developed a Chatbot in Python for ticketing (NLP, chatterbot libraries) • Used Python NLP algorithms and libraries to build a chatbot that could answer queries related to ticket booking and could retrieve booking details. • Developed Dashboards in Tableau for Non-profit research based storytelling • Mined survey data from Google Sheets and developed dashboards in Tableau to relay the stats related to a certain social cause. • Developed stored procedures and SQL views using SQL Server, SSIS and T-SQL for a large beauty company. The 'Revenue Recognition' logic was incorporated in the report development so that revenues could be realized only after being invoiced. Developed the necessary processes to deploy the reports to top executives to their emails. Developed reports using Cognos Analytics and SSRS. • Developed Predictive Analytics algorithms in R and Python across domains. • I have also worked on Predictive Analytics use cases (supervised & unsupervised) in R and Python. ----------------------------------------------------------------------------------- ⦿ Availability: I am in Stamford, CT and work in any US timezone. If you have a requirement for a different timezone, we can always discuss it.

Full-stack developer and AI engineer with 6+ years of experience building production-grade web applications, AI-powered platforms, and complex third-party integrations. My core stack is Next.js, React, TypeScript, Python, FastAPI, Supabase, and PostgreSQL. I specialize in REST API integrations, OAuth flows, webhook architecture, and AI automation using tools like OpenAI, Claude, Retell AI, and n8n. Recent projects include an AI workforce portal for automotive dealerships I architected and built solo, a multi-agent AI platform with 250+ third-party integrations, and a full-stack AI tool for authors with Stripe, PostHog, and GTM integrations. I work independently, make sensible architectural decisions, and deliver clean, maintainable code. Available for project-based and long-term engagements.

2x B2B SaaS founder. EngageRocket: scaled $0 → $3M+ ARR, raised >$6M through Series A. Nsightz: $100K+ revenue in 6 months. Now I build and run B2B outbound systems that book meetings without burning domains. Cold email, CRM automation, deliverability, and clean list operations — built to a standard your team can maintain, and managed by me while it stabilizes if you want the hands. If your campaigns stall because lists run dry, deliverability slips, or the CRM is a tangle of broken syncs, that's the work I do. I'm hands-on and execution-focused, not a strategist who hands you a slide deck. WHAT I BUILD AND MANAGE • Cold email + deliverability infrastructure — Instantly / Smartlead setup, mailbox warm-up and reputation management, inbox-placement and spam tests, A/B testing, and sequences kept stocked so campaigns never run dry. I keep reputation scores healthy and reply rates moving. • CRM automation (HubSpot + Salesforce) — lead routing, tagging, segmentation, lifecycle stages, scoring, and reporting wired so leads move from first touch to booked meeting without manual babysitting. I find and fix the syncing issues and workflow failures across your stack. • List + data operations — source, enrich, validate, normalize, and deduplicate prospect databases; clean large CSVs with high accuracy; ship campaign-ready datasets and hold the line on data hygiene. • AI-personalized, multi-channel outreach — email + LinkedIn sequences with 10+ touchpoints and AI first-line personalization, built to reduce or replace a traditional SDR function. Apollo, Clay, HeyReach, n8n, Claude. PROOF (see portfolio for screenshots and metrics) • EngageRocket (co-founder): scaled $0 → $3M+ ARR, raised >$6M through Series A. • B2B Software: $497K pipeline in 120 days, $118K new business, 5X ROI. Built the AI-powered lead graph + multi-variant outbound system. • EdTech SaaS: $100K+ revenue in 6 months. Sourced leads, built signals, wired email + LinkedIn, applied AI to make one rep outproduce five. • eCommerce SaaS: production outbound with full attribution plus lifecycle QA wired across HubSpot, PostHog, Intercom and Metabase across 100K+ users. HOW I WORK I work in your stack, and build you a system you own from Day 1 workflows, prompts, dashboards. I can run it with you while it stabilizes, then hand over clean. That's your call, not a forced retainer. I'm comfortable working independently, reporting weekly, and available on Slack during your working hours. TOOLS Instantly · Smartlead · Apollo · HubSpot · Salesforce · Clay · Apify · HeyReach · n8n · Zapier / Make · Claude + OpenAI API · Advanced Excel / Power Query. HOW TO START Send me your current outbound state (or paste a job link). Within 24 hours I'll tell you whether I'm a fit and what the first 7-day milestone looks like. If we're not a fit, I'll point you to who is.

Hi, I'm Venkatesh — a full-stack engineer with 7+ years of experience building production web applications, AI-powered tools, and data-heavy platforms. I currently lead engineering as the founding full-stack developer at Alphapro.ai (FinTech), and previously shipped customer-facing features at Amazon (Amazon Fresh Search) in California. What I bring to your project: • Modern web stack: Next.js 14/16, React, TypeScript, Redux, Tailwind CSS, shadcn/ui, Figma-to-code • Robust backends: Node.js, Express, GraphQL, Prisma, Drizzle ORM, PostgreSQL, MySQL, MongoDB, Redis • AI / LLM apps: Google Gemini, Anthropic, OpenRouter, LangChain, LangGraph, Text-to-SQL agents, prompt engineering, eval harnesses, prompt caching • Cloud & DevOps: AWS (EC2, S3), Heroku, Digital Ocean, Hetzner, Coolify, Docker, GitHub Actions, PostHog analytics • Languages: TypeScript, JavaScript, Python, Java, SQL, Scala Recent highlights: • Pythagora (Recent): Worked ~60 hrs/week building an end-to-end AI app builder — users describe the app they want in plain language, and the platform generates, builds, and hosts a fully functional web application with a live link. Users can iterate and make changes on the fly, making it a true no-code/low-code AI-powered development experience. • Alphapro.ai (2024–Present): Built the entire fintech platform from scratch — real-time sentiment analysis of earnings calls, ML trading models running with real capital on NDX/SPX, and high-throughput cron pipelines processing the full US equity universe (cut daily runtime ~3x via batching/optimization). • Indian Market Pulse: A self-hosted analytics platform I designed and operate — tracks 2,500+ NSE equities and 15+ indices with daily-updated technical indicators over a 5M+ row Postgres dataset. Includes a natural-language SQL agent (Gemini + LangGraph) that turns plain English into typed SQL with multi-turn refinement. (Live demo available in my Portfolio.) • Amazon (2019–2021, L4 SDE): Improved Amazon Fresh search experience, ran weblab experiments to measure revenue impact, and led international onboarding of affiliated grocery stores. Education: M.S. in Computer Science from Northeastern University (Boston) and B.Tech in Electronics & Communications from MANIT, Bhopal. I care about clean, maintainable code, fast iteration, and shipping things that actually work in production. I communicate clearly, hit deadlines, and treat your project like my own. Available immediately for full-time freelance engagements, MVPs, AI integrations, dashboards, or scaling existing Next.js / Node.js codebases. Let's build something great — happy to jump on a quick call to scope your project.