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swati jain

@swatijain7

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GTM Engineer at Blockchain Relations building prospect-research agents that save 12 hours of manual work each week.

India

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At Blockchain Relations, I built Python and LLM agents that automate prospect research, saving 12 hours of manual work each week. I also built a GTM stack connecting HubSpot, Clay, Stripe, and PostHog, and used experiments and product-event signals to improve conversion and revenue.

At CryptoLiveLeak, Inc., I built multi-agent anomaly detection across 10M+ data points and RAG pipelines powering a chatbot that resolved 80% of routine queries. I improved LLM accuracy while reducing token costs and inference latency, and introduced evaluation, observability, and guardrails for production systems.

Experience

Work history, roles, and key accomplishments

Current

GTM Engineer

Current

Blockchain Relations

Aug 2025 - Present (1 year 3 months)

Built Python and LLM agents to automate prospect research, saving 12 hours of manual work per week. Integrated HubSpot, Clay, Stripe, and PostHog to unify signup-to-revenue tracking and raised trial-to-paid conversion from 4% to 7%.

Python LLM Agents HubSpot Clay Stripe PostHog REST APIs Webhooks SQL N8n A B Testing

Artificial Intelligence Engineer

CryptoLiveLeak, Inc.

Aug 2024 - Aug 2025 (1 year)

Developed multi-agent systems for real-time anomaly detection over 10M+ data points and deployed production LLM APIs on AWS. Designed RAG pipelines and improved answer accuracy by 30% while cutting token costs by 35%.

Python Lang Chain LangGraph MCP RAG Pinecone Pgvector fastAPI Docker Kubernetes AWS Airflow Snowflake VLLM Quantization Ragas Langsmith GuardRails A B Testing

Data Analyst

Clocr Inc.

Nov 2023 - Aug 2024 (9 months)

Automated monthly marketing reports with Python and SQL, saving 30% of analyst hours. Built customer segmentation models that improved campaign ROAS by 25% and developed a budget-allocation forecast guiding $50k of quarterly spend.

Python SQL K Means PCA XGBoost Prophet Marketing Analytics Forecasting

Business Data Analyst (Part-time)

EmergentX

Aug 2023 - Jul 2024 (11 months)

Launched a dbt and Tableau pipeline that reduced ad-hoc query time from 3 hours to 15 minutes. Devised an A/B testing framework with CUPED variance reduction, lifting token adoption by 7 percentage points.

DBT Tableau SQL A B Testing CUPED Data Pipelines