You will get Enterprise Production-Grade AI Voice Agent for Inboud/outbound calling
Rising Talent
Rising Talent
Project details
We’re delivering a production-ready Voice AI agent—that can handle real conversations with low latency, interruption control, and safe human handoff.
It connects to your systems (CRM/booking/ticketing/WhatsApp/email) to take actions during calls, personalizes using per-user variables, and extracts structured data for analytics—so every call is measurable, auditable, and improves over time.
It connects to your systems (CRM/booking/ticketing/WhatsApp/email) to take actions during calls, personalizes using per-user variables, and extracts structured data for analytics—so every call is measurable, auditable, and improves over time.
AI Algorithms
Deep Belief Network, Generative Adversarial Network, Large Language Model, Linear Discriminant Analysis, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Self-Organizing Map, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Speech, AI-Generated Music, Conversational AI, Natural Language Generation, Natural Language Understanding, Neural Style Transfer, Sentiment Analysis, Sequence Modeling, Speech SynthesisAI Development Language
PythonAI Tools
Adobe Firefly, Azure OpenAI, Bing AI, Copy.ai, GitHub Copilot, Hugging Face, Jasper AI, Microsoft 365 Copilot, Microsoft CNTK, NVIDIA AI PlatformAI Models
AlphaCode, BERT, BLOOM, Dolly, GPT-4, LaMDA, LLaMA, Midjourney AI, Naive Bayes Classifier, OpenAI Codex, WhisperWhat's included $4,999
These options are included with the project scope.
$4,999
- Delivery Time 10 days
- AI Model Integration
- Database Integration
- Model Deployment
- Natural Language Processing
- Prompt Engineering
- Setup File
- Source Code
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Pradeep M.
Jan 2, 2026
Develop a Custom LLM for Standardization of Company Names and Addresses in Shipment Data
About SYNPASE GROWTH PVT
AI Strategist | Voice Agent & LLM Pipeline Architect
Ahmedabad, India - 10:09 pm local time
I'm an AI systems architect with an MBA from IIM Ahmedabad — which means I don't just build LLM pipelines and voice agents, I build them with commercial outcomes in mind: cost-per-transaction, throughput at scale, accuracy thresholds that actually matter to your P&L.
What I specialise in:
AI Voice Agents (inbound/outbound automation, CRM integration, multilingual support)
LLM & NLP Pipelines (classification, extraction, fine-tuning at millions of records/day)
Intelligent Data Systems (confidence routing, self-learning lookup mechanisms, hybrid retrieval)
I've designed and delivered production systems for enterprise clients in trade intelligence, real estate, and B2B SaaS — handling data volumes exceeding 5M rows/day with three-tier confidence routing and sub-second response requirements.
The MBA isn't a line on a résumé. It's why my clients get a solution architecture review alongside the code — so the system we build today doesn't become technical debt in six months.
I work best with teams that:
Have a real business problem, not just a vague "AI project"
Value a senior thinking partner, not just a pair of hands
Want production-grade output, not a prototype that dies in staging
If that's you, let's talk. I typically open with a 20-minute scoping call — no pitch, just clarity on whether this is the right fit.
A few things clients consistently note:
"Darshan thinks like a product manager and builds like an engineer"
"He flagged problems we hadn't anticipated before we'd even started building"
"First freelancer who gave us a proper ROI framing before writing a single line of code"
Available for fixed-price engagements and long-term retainers. Response time: within 4 hours.
Steps for completing your project
After purchasing the project, send requirements so SYNPASE GROWTH PVT can start the project.
Delivery time starts when SYNPASE GROWTH PVT receives requirements from you.
SYNPASE GROWTH PVT works on your project following the steps below.
Revisions may occur after the delivery date.
1. Kickoff (30–45 min) — confirm use case, rules, success metrics.
2. Agent Deployement — prompt + variables + call controls + escalation.