AI Solutions in the Real World
Real-world architectures engineered to solve tangible operational bottlenecks, deliver measurable revenue lift, and achieve immediate ROI.
AI Voice Sales Agent for Automated Lead Qualification
Real-time conversational voice agent with sub-300ms audio latency
The client's sales team spent over 4 hours daily manually dialing inbound leads, leading to delayed outreach (>48 hours), high lead decay, and severe representative fatigue on unqualified calls.
Engineered an autonomous conversational voice agent powered by low-latency LLM orchestration and direct CRM webhooks. The agent makes instant outbound calls upon lead submission, qualifies prospects dynamically, handles complex objections, and books meetings on AE calendars.
- • Average speed-to-lead reduced from 48 hours to under 45 seconds.
- • Lead-to-opportunity conversion increased by 42% in the first 90 days.
- • Sales reps saved an average of 18 hours per week on cold outreach.
Autonomous Candidate Screening & Recruitment Agent
Agentic screening pipeline with semantic resume parsing and ATS sync
Recruiters faced extreme bottlenecks manually reviewing 5,000+ unstructured resumes per month across job boards, causing multi-week candidate review cycles and high candidate attrition.
Built a multi-agent screening platform featuring semantic resume parsing, rubric-based qualification grading, automated WhatsApp/email candidate interactions, and two-way ATS sync with Bullhorn and Lever.
- • Screening time per candidate dropped from 25 minutes to less than 2 minutes.
- • Zero recruiter intervention required for initial qualifications and interview calendar scheduling.
- • Candidate engagement rate improved by 68% via multi-channel instant follow-up.
Intelligent Patient Intake & Clinical Document AI
HIPAA-compliant document parsing, insurance card OCR, and EMR integration
Paper-based intake clipboards and manual medical record entry caused 35-minute average patient waiting room delays, transcription errors in prescription histories, and delayed insurance claim submissions.
Deployed a multilingual conversational intake kiosk and secure patient mobile portal. Integrated custom Document AI models that scan insurance cards, extract ID and medical history, and sync directly via HL7/FHIR into hospital EMR systems.
- • Patient check-in time reduced from 18 minutes to 2.5 minutes.
- • Insurance claim rejection rates decreased by 73% due to accurate upfront OCR verification.
- • Fully audited with end-to-end encryption complying with HIPAA and SOC2 Type II standards.
Production-Grade Multi-Tenant AI SaaS Platform
Schema-isolated enterprise cloud scaffolding with Stripe metered billing
An AI software company needed to launch an enterprise SaaS product within 3 weeks but struggled with customer data isolation, runaway OpenAI API token expenses, and complex usage-based subscription billing.
Engineered a scalable multi-tenant architecture with database schema-level isolation, prompt caching, dynamic model routing (switching between Claude 3.5, GPT-4o, and Llama 3 based on query complexity), and Stripe metered token billing.
- • Onboarded over 120 enterprise organizations within the first 60 days of launch.
- • Semantic prompt caching eliminated duplicate LLM queries, lowering monthly inference bills by 70%.
- • Automated webhook-driven tenant provisioning without any manual DevOps overhead.
Road and Tree Segmentation Using Deep Learning
High-precision satellite & aerial computer vision for public works
Municipalities faced massive surveying expenditures and road safety risks trying to inspect thousands of kilometers of public roads and encroaching tree canopies using manual ground crews.
Developed a state-of-the-art computer vision pipeline leveraging deep semantic segmentation algorithms (U-Net and Mask R-CNN) to automatically categorize road corridors, potholes, and vegetative overhang from aerial imagery.
- • Mapped over 5,000 square kilometers of public roadways in under 72 hours of cloud compute time.
- • Identified 1,400+ critical tree canopy powerline clearance hazards prior to hurricane season.
- • Automated maintenance dispatching via GIS integration.
Intelligent Grocery E-Commerce & Demand Forecasting
AI-driven basket recommendation, dynamic pricing, and inventory optimization
High perishable inventory spoilage (18% loss), unpredictable peak shopping demand, and checkout abandonment due to lack of personalized recommendations.
Engineered an integrated AI retail engine with real-time predictive demand forecasting, personalized basket building recommendations, automated supplier re-ordering, and smart inventory allocation.
- • Automated stock replenishment prevented 96% of out-of-stock events on high-demand essentials.
- • Personalized recipe-to-cart recommendations generated over $2.4M in incremental annual revenue.
- • Real-time warehouse routing reduced last-mile delivery times by 19 minutes on average.
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