Kumar Sahil

Designed and deployed AI-powered GTM workflows using n8n and LangChain, automating data collection, parsing, enrichment, and distribution across sales and marketing tools. Built 'Agentify' - modular automation system combining web scraping, AI-powered parsing, vector database enrichment, and intelligent routing logic, improving workflow adaptability and reducing setup time by 60%. Implemented automated lead qualification pipeline using RAG architecture, reducing recruiter screening effort by 30% through structured JD-resume matching and scoring. Integrated multiple data sources (LinkedIn, company databases, APIs) with vector databases (Chroma, FAISS) to create enriched, searchable prospect databases. Automated domain verification, data validation, and logging processes, saving 20+ hours per week in manual enrichment work and improving data quality by 45%. Built notification systems (Slack, Email) with conditional triggers based on lead scores, intent signals, and enrichment status for timely sales team engagement.

Architected and deployed 12+ AI-powered GTM automation systems using n8n, Clay, and Apollo, reducing manual lead enrichment and qualification time by 50% for 10+ B2B clients. Built end-to-end automated prospecting workflows integrating Apify (web scraping), Apollo (data enrichment), Clay (waterfall enrichment), and CRMs, processing 10,000+ leads monthly. Designed intelligent lead scoring and routing systems using RAG + LLM prompts, improving sales team efficiency by 70% through automated candidate-job matching and prioritization. Integrated CRM systems (HubSpot, custom solutions) with automation platforms via APIs and webhooks, enabling real-time lead flow and automated lifecycle workflows. Implemented data enrichment pipelines using 50+ data providers through Clay's waterfall approach, achieving 85%+ data completeness on prospect records. Developed custom ETL processes with Python to clean, transform, and sync data between marketing automation, sales tools, and data warehouses, ensuring data quality across systems. Built AI agent systems using LangChain to automate personalized email generation at scale, increasing reply rates by 35% through context-aware messaging. Created multi-channel outreach sequences (email, LinkedIn, calls) with conditional logic and trigger-based automation, managing 50+ concurrent campaigns. Deployed conversation intelligence using vector databases (ChromaDB, FAISS) to power chatbot interfaces and automated qualification workflows with Slack/Email integration. Collaborated directly with sales and marketing teams to identify GTM bottlenecks, design solutions, and implement automations that reduced cost per acquisition by 40%. Mentored team of 4+ junior developers on automation best practices, API integration, and workflow optimization techniques. Managed 50+ client projects with 100% on-time delivery, translating technical capabilities into measurable business outcomes and ROI metrics.

Designed and developed scalable social media analytics platform using Java and SQL, enabling real-time user engagement insights and boosting platform adoption by 60%. Optimized and refactored 30+ reusable backend components, improving data processing efficiency by 120% and reducing server load by 35%. Integrated third-party APIs for data ingestion and analytics, enhancing platform capabilities and user experience across marketing teams. Implemented CI/CD pipelines using GitHub Actions and Docker, reducing deployment time by 20% and ensuring consistent release quality. Collaborated with cross-functional teams to debug features, document technical processes, and improve system maintainability for future development.