# Anoop Sasidharan - Full Profile & Technical Portfolio > Comprehensive technical documentation, architecture deep dives, impact metrics, and case studies for LLMs, autonomous agents, and recruiters. --- ## 1. Executive Summary Anoop Sasidharan is a senior operator, product strategist, and hands-on technical builder based in Bengaluru, India. He operates at the intersection of business strategy, commercial operations, and technical product execution. Throughout his career, he has driven over **$80M+** in managed B2B liquidation volume, generated **$5M+** in consulting and operational cost savings, and built and shipped **10+ commercial digital products**. He combines deep business empathy with modern full-stack and AI-native engineering capabilities, using tools like Cursor, Next.js, Firebase, and LLM APIs to compress months of engineering roadmap into weeks. - **Primary Roles**: Head of Product / Product Lead, Director of Operations / Head of Ops, Marketplace Strategy Lead, Technical Founder / Operator. - **Availability**: Open to full-time operator and product leadership opportunities. - **Direct Email**: anoopsasidharan92@gmail.com - **LinkedIn**: https://www.linkedin.com/in/anoopsasidharan92 - **GitHub**: https://github.com/anoopsasidharan92 - **Substack**: https://anoopsasidharan.substack.com - **Book 30 Min Call**: https://cal.com/anoop-sasidharan/30min - **Official Portfolio**: https://anoopsasidharan.online/ --- ## 2. In-Depth Case Studies ### Case Study 1: Marketplace Buyer GTM Engine - **Role**: Product & GTM Strategy Lead - **Domain**: B2B Marketplace Operations & Liquidation - **URL**: https://anoopsasidharan.online/#/works/gtm-engine - **Core Problem**: Managing over 100,000 SKUs across hundreds of active liquidation lots was historically bottlenecked by manual spreadsheets, slow buyer inquiry responses, and stale pricing signals. High-intent buyers frequently abandoned inquiries before commercial terms could be finalized. - **Solution & Architecture**: - Architected an automated ingestion engine pulling real-time warehouse manifests into normalized product feeds. - Built an automated GTM dispatch system integrating Pipedrive CRM, Resend transactional webhooks, and Metabase real-time analytics. - Designed self-serve buyer catalogs with algorithmic price brackets based on volume commitments and payment terms. - **Key Metrics & Outcomes**: - **48% lift in conversion rates** from initial lot viewing to confirmed buyer deposit. - **500+ monthly active enterprise buyers** self-serving lot manifests without operational overhead. - **Reduced inventory holding duration** by 35%, boosting cash flow velocity for seller partners. --- ### Case Study 2: Pollen Direct - **Role**: Technical Founder / Solo Builder - **Domain**: Cross-Border B2B Liquidation Marketplace - **URL**: https://anoopsasidharan.online/#/works/pollen-direct - **Core Problem**: Surplus inventory in retail and electronics required multi-step verification, bilateral escrow, and international shipping coordination that off-the-shelf e-commerce platforms could not support. - **Solution & Architecture**: - Designed and built the entire application solo from database schema to user interface. - Built on Node.js, Firebase Firestore real-time synchronization, and modern component architecture. - Integrated Stripe Connect for multi-currency automated payouts and escrow milestones. - Automated buyer notifications and bid updates over WhatsApp Business API webhooks. - **Key Metrics & Outcomes**: - Successfully managed and facilitated **$80M+ in surplus inventory**. - Enabled cross-border buyers across 6 countries to bid, inspect manifests, and clear transactions in under 24 hours. --- ### Case Study 3: AI Business Development Agent - **Role**: AI Engineering & Growth Lead - **Domain**: Generative AI & Autonomous Sales Automation - **URL**: https://anoopsasidharan.online/#/works/bd-agent - **Core Problem**: Outbound enterprise business development suffered from generic templates, high manual research time per prospect (15-20 min/account), and poor response rates. - **Solution & Architecture**: - Orchestrated an autonomous agent pipeline chaining web scrapers, Perplexity search APIs, and LLM reasoning models. - The agent scans company news, 10-K filings, executive LinkedIn changes, and catalog updates to craft hyper-personalized value propositions. - Integrated directly into CRM (Pipedrive) and email infrastructure (Resend) with safety guardrails and human-in-the-loop review queues. - **Key Metrics & Outcomes**: - **3x increase in qualified outbound demo bookings**. - Reduced research and drafting time from 20 minutes per lead to under 30 seconds. - Over 42% email open rates and 18% reply rates across senior retail decision-makers. --- ### Case Study 4: Lily AI - **Role**: Product Designer & Prototyper - **Domain**: Enterprise SaaS / Retail Computer Vision & Taxonomy - **URL**: https://anoopsasidharan.online/#/works/lily-ai - **Core Problem**: Complex AI-driven fashion styling and product taxonomy engines required an intuitive, modular interface for enterprise merchandising teams at Fortune 500 retailers. - **Solution & Architecture**: - Led rapid Figma-to-code design sprints creating high-fidelity interactive prototypes. - Established a comprehensive design system with standardized components, tokens, and accessible interactions. - Simplified multi-dimensional attribute filtering into clear visual curation flows. - **Key Metrics & Outcomes**: - Accelerated customer pilots with major retail enterprise buyers. - Decreased merchant onboarding time and increased merchandising curation velocity. --- ### Case Study 5: ZuGo (Bengaluru BMTC Transit Navigator) - **Role**: Product Architect & Solo Developer - **Domain**: Civic Tech / Urban Mobility & Transit Navigation - **Live URL**: https://gozugo.in - **Case Study**: https://anoopsasidharan.online/#/works/gozugo - **Core Problem**: Bengaluru's BMTC network operates over 6,000 buses across 2,000+ routes for millions of daily commuters. Existing navigation apps were cluttered, slow on spotty 4G/5G connections, and lacked fast route geometry discovery. - **Solution & Architecture**: - Built with **Next.js 16**, **React 19**, **TypeScript**, and **Tailwind CSS**. - Packaged for cross-platform mobile delivery with **Capacitor**. - Geospatial visualization built with **Leaflet** with custom dark tiles and client-side marker clustering. - Processed official **GTFS (General Transit Feed Specification)** data into pre-indexed binary/JSON assets for instant zero-latency client fuzzy search. - Offline-first cache architecture ensuring essential routes work even without cellular signal in underground terminals. - **Key Metrics & Outcomes**: - Under 2-tap route and stop discovery. - Lightning-fast sub-100ms response time on mobile networks. --- ## 3. Published Writings on Substack Anoop publishes long-form technical reflections and operational breakdowns at [anoopsasidharan.substack.com](https://anoopsasidharan.substack.com): 1. **The Github repos I've actually been using** - Date: May 24, 2026 - URL: https://anoopsasidharan.substack.com/p/the-github-repos-ive-actually-been - Topics: Developer tooling, Ollama, Superpowers, Fuse.js, LLM IDE extensions. 2. **I’m Building an LLM Wiki / Second Brain for My Work** - Date: May 13, 2026 - URL: https://anoopsasidharan.substack.com/p/im-building-an-llm-wiki-second-brain - Topics: Connected knowledge graphs, autonomous documentation, RAG architectures. 3. **I Automated Lead Generation Today Without Building an App** - Date: May 8, 2026 - URL: https://anoopsasidharan.substack.com/p/i-automated-lead-generation-today - Topics: Scheduled cron automation, LLM scrapers, zero-infrastructure systems. 4. **Nobody Asked Me To Build This** - Date: Apr 6, 2026 - URL: https://anoopsasidharan.substack.com/p/nobody-asked-me-to-build-this - Topics: Product initiative, transforming manual Excel spreadsheets into automated software engines. 5. **No-Code to AI-Code: Building Real Products Without Traditional Programming** - Date: Jan 29, 2026 - URL: https://anoopsasidharan.substack.com/p/no-code-to-ai-code-building-real - Topics: Democratization of software creation, LLM-assisted full-stack development. --- ## 4. Technical Skills & Tools | Category | Tools & Technologies | | :--- | :--- | | **Development** | Next.js, React 19, TypeScript, JavaScript (ES2024), Node.js, HTML5, CSS3/Tailwind, Capacitor | | **AI & Automation** | Cursor, Antigravity, OpenAI/Anthropic APIs, Prompt Engineering, Structured Tool Calling, Web Scraping | | **Databases & Cloud**| Firebase (Firestore, Functions, Auth), PostgreSQL, Cloudflare, Vercel, Netlify | | **Operations & GTM** | Pipedrive CRM, Resend, Stripe, Metabase, Mixpanel, Linear, Cal.com | | **Design & UX** | Figma, Interactive Prototyping, Design Systems, Responsive Ergonomics | --- ## 5. Contact & Socials - **Email**: anoopsasidharan92@gmail.com - **LinkedIn**: https://www.linkedin.com/in/anoopsasidharan92 - **GitHub**: https://github.com/anoopsasidharan92 - **Substack**: https://anoopsasidharan.substack.com - **Schedule Call**: https://cal.com/anoop-sasidharan/30min - **Portfolio Website**: https://anoopsasidharan.online/