- Built a tech-focused job portal that connects candidates with strong opportunities.
- Added automated job scraping so the platform surfaces fresh roles from employers such as Amazon, Google, and Atlassian.
- Started as a personal project to track hiring trends in real time and aggregate the latest jobs from the web.
About Me
Hungry for the accountability of massive scale, I pivoted into Data Engineering, where I built high-performance systems at Media.net, processing 3 billion rows of data and slashing latency by 50%.
Leveraging that technical grit, I helped build a SaaS tool from the ground up, scaling it from zero to $20,000 in monthly revenue.
Now, I’m at the frontier of the AI Domain, engineering agentic RAG layers and AI-native outreach funnels that empower the Real Estate industry to make data-driven decisions and close million-dollar deals at scale.
Experience
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Agentic Wrapper
Prompt Engineering
RAG
Agentic toolkits
Gemini
Grok
LangChain
Scale: Serving 100K real estate companies with a segmented AI knowledge base spanning millions of data points.
Drove $100K+ revenue with agentic RAG automating data-driven broker decisions.
- Architected the AI layers of the product from scratch so agentic AI could make data-driven decisions and support an AI-native product approach.
- Introduced a RAG layer over more than 20,000 financial documents, streamlining the agentic workflow so brokers could make data-driven decisions with grounded retrieval.
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Outreach Funnel
SmartLead
Amazon SES
Playwright
Puppeteer
Scale: Outreach to 10K+ leads per month from a growing pool of 500K+ leads auto-ingested from real-world newsletters.
Increased engagement roughly 10x, moving deal volume from about one per month to double digits.
- Built an outreach funnel that lifted deal flow to roughly 10x per month from quality leads through niche AI-powered outreach and filtered deal targeting.
- Redesigned context engineering for the data enrichment pipeline to improve lead quality before downstream outreach.
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Lead Management System
Data Modeling
ETL
PostgreSQL
Redis
BullMQ
Scale: 10+ brokers managing 1,000+ deals and $100K+ in revenue across 20K+ properties.
Gamification attracts strong brokers and supports higher revenue.
- Shipped the Broker Velocity Engine to gamify the broker experience—more output in less time, more deals with AI assistance, and fewer repetitive tasks.
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DANTE (Data Anomaly Tracker)
Scala
Spark
Hive
Scale: Compared nearly 3 billion and 200 million rows in 30 minutes.
- Conceptualized our first configurable data quality tools, which fortified data integrity and optimized parallel data reading, leading to a 60% reduction in processing time for >100GB workloads.
- EQ Tracer: A tool to monitor summative metric trends across configurable hierarchies with dynamic alerting mechanisms to filter out noise data, ensuring accurate insights.
- Ratio Tracer: A tool for outlier detection using customizable percentile thresholds, enabling the proactive identification and mitigation of anomalies.
- PM Tracer: A logging and monitoring tool that aggregates data from multiple sources, providing detailed coverage and mismatch analysis for enhanced data quality and system reliability.
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StopLoss System
Java
Structured Streaming
Batch Processing
Scale: Ingesting 50k records per second from Kafka and processing in 5-minute buckets.
- Migrated Spark Streaming to Structured Streaming, achieving a 50% reduction in latency and stronger error handling with exactly-once semantics that stabilized the data audit pipeline.
- Implemented A/B testing to understand traffic patterns and loss thresholds per entity, driving a 15% reduction in overall losses and supporting R&D with measurable profitability gains.
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Discord Automation and Notification System
Ruby on Rails
Python
Amazon SQS
Scale: Sending 2k messages per day. Reaching 10k users in 3 months.
- Pioneered automation for group moderation on Discord through the web app, unlocking peer learning while reducing moderation overhead and lifting engagement.
Projects & Products
Scaled from 0 to 20K+ monthly revenue with efficient lead outreach
- Led the product from scratch to a self-sustaining state that generates leads and revenue.
- Developed an outreach funnel that increased engagement and revenue using AI-powered outreach with analytics.
Serving 30K+ sellers with AI-powered content creation and quality control
- Introduced a seller content classification system to automate content creation and quality control.
Serving 30K+ products—richer data improved seller reachability
- Bypassed Amazon scraping defenses to ingest reviews, content, and listing data at scale.
- Built an automated system that generates multiple resume variants and a portfolio website from JSON.
- Implemented LuaTeX-based PDF generation with custom LaTeX templates for professional resumes.
- Integrated the Jekyll static site generator to build and deploy the portfolio from the same data.
- Eliminated manual resume updates—edit JSON once to regenerate all resume variants and the site.
Education
Technical Skills
AI & Machine Learning
Agentic AI Multi-LLM Integration LLM Fine-Tuning Prompt Engineering Vector Databases RAG
Languages
Backend & Frameworks
Node.js Ruby on Rails Next.js Express REST APIs Microservices
Databases & Data Engineering
PostgreSQL MySQL Spark Kafka Structured Streaming HDFS Hive PySpark ETL Data Modeling
Analytics & Monitoring
Metabase Data Pipelines A/B Testing Performance Monitoring Real-time Analytics
Software Engineering
Design Patterns OOP Distributed Systems System Architecture Algorithms