8+ years building scalable web systems. Now shipping autonomous AI infrastructure that actually works — for humans and agents.
Mission control for intelligent lead qualification and outreach automation.
What it does:
- Autonomous prospect research and profiling
- AI-generated, personalized outreach at scale
- Intelligent lead qualification and triage
- Built-in evaluation loops and safety guardrails
- Seamless human escalation and CRM integration
Why it matters: Most people build SDR bots that are fragile and hard to control. I built the infrastructure layer underneath — the decision logic, evaluation frameworks, and human handoff paths that make autonomous systems reliable at scale.
Tech: LLM orchestration · OpenAI SDK · Prompt engineering · RAG · PostgreSQL · REST APIs · Evaluation frameworks
Low-latency voice systems that understand, decide, and escalate intelligently.
What it does:
- Real-time voice processing (Retell AI, Vapi, Bolna)
- Multi-turn conversational flows with context memory
- Smart escalation: knows when to hand off to humans
- Sub-100ms response-time SLAs
- Complete interaction logging and analytics
Why it matters: Voice agents sound great in demos but fail in production when latency spikes or conversations get complex. This system is built for reliability and real human handoff.
Tech: Voice APIs · WebSocket streaming · NLU/NLP · OpenAI API · Python · Node.js · PostgreSQL
Architected web systems serving 100K+ users across multiple domains.
What I built:
- My-GITAM Portals (React/Next.js): Student, faculty, parent dashboards replacing legacy systems
- G-Learn LMS: Scalable learning platform with WCAG compliance and Core Web Vitals optimization
- Hospital HIS Interfaces: End-to-end patient workflow digitalization across 3 hospitals (Basavataram Cancer, GIMSR, GITAM Dental)
- Enterprise Infrastructure: Centralized CDN + shared component library reducing latency and enforcing brand consistency across 50+ web properties
Systems thinking: Designed with AI-readiness from the start — clean API boundaries, structured schemas, agent-friendly data models enabling future autonomous systems for triage, scheduling, and document processing.
Tech: React · Next.js · TypeScript · Tailwind CSS · Design Systems · PostgreSQL · REST APIs · WCAG · Core Web Vitals
GITAM Deemed University (Jun 2018 – Oct 2025)
- Led frontend architecture across 50+ university web properties
- Standardized design systems and UI/UX for 100K+ users
- Digitalized patient workflows across 3 hospitals
- Mentored frontend engineers on modern web standards
Sadhanapada, Isha Foundation (Jul 2024 – Feb 2025)
- 7-month intensive residency on execution and technical excellence
- Spearheaded testing & debugging for "Miracle of Mind" wellness app (~2M users)
- Learned discipline, focus, and problem-solving under pressure
Media Wagon (Apr 2017 – Jun 2018)
- Built responsive, mobile-first applications
- Created reusable component libraries
AI & LLM Systems Multi-agent orchestration · Voice agents (Retell AI, Vapi, Bolna) · RAG pipelines · MCP (Model Context Protocol) · Prompt engineering · Meta-prompting · LLM guardrails · Evaluation frameworks · OpenAI SDK
Frontend React · Next.js · TypeScript · Tailwind CSS · Design Systems · Micro-frontends · WCAG · Core Web Vitals · Technical SEO
Backend & Infrastructure Supabase · PostgreSQL · REST/WebSocket APIs · Node.js · Python · PHP · Git & GitHub CI/CD
Practices Autonomous workflow architecture · Production LLM systems · Conversational design · Low-latency systems · User-centered design · Agile/Scrum
- Advanced RAG architectures — Vector databases, semantic search optimization
- LangGraph / LangChain frameworks — Multi-step agent reasoning
- Evals & safety — Guardrails, hallucination mitigation, production monitoring
- MCP ecosystem — Tool integration for agentic systems
Most people building agents this year are building use cases (SDR bots, intake flows, etc.). I'm interested in building the infrastructure layer underneath — the systems, decision frameworks, and safety mechanisms that make autonomous agents reliable, controllable, and actually useful in production.
I don't believe in shipping fragile AI. I believe in:
- Systems thinking — not just prompt chaining
- User empathy — agents should be invisible, UX should be delightful
- Measurable outcomes — evals, guardrails, logging, monitoring
- Honest communication — no invented metrics, no overselling
📧 Email: builtby.rajum@email.com 💼 LinkedIn: linkedin.com/in/raju-mokara 🐙 GitHub: github.com/rajum37
Interested in collaborating on:
- Autonomous agent infrastructure
- Voice agent systems
- AI-ready architecture design
- LLM workflows in production
Or just want to talk about AI systems? Message me. I respond fast.
Last updated: June 2026
