Freelance Software Engineers in BelgradeFreelance Software Engineers in Belgrade
Senior Software Engineer & Low-Code Development Expert
$25k+
Earned
2x
Hired
4.8
Rating
18
Followers
Senior Software Engineer & Low-Code Development Expert
AI voice agents that answer calls and book appointments
New to Contra
AI voice agents that answer calls and book appointments
Cover image for I designed and developed a
I designed and developed a specialized AI phone receptionist for veterinary clinics. The system handles real PSTN and SIP calls through FreeSWITCH. It combines streaming speech recognition, LLM orchestration and low-latency voice synthesis to communicate naturally with pet owners. The agent can answer questions about veterinary services, business hours, location, parking and clinic policies. It can identify the pet owner’s reason for calling, distinguish routine appointment requests from potentially urgent situations, check configured availability and guide the caller through a veterinary visit request. The system includes: • Real US telephone and SIP call handling • Pet-aware reason-for-visit collection • Routine, sick-visit and urgent-request routing • Veterinary service and provider information • Appointment booking, rescheduling and cancellation flows • Email confirmations and owner notifications • Safe escalation for urgent or unresolved situations • Call recordings, transcripts and structured summaries • Appointment status and administrative review • Configurable services, staff, schedules, policies and instructions • Replaceable speech recognition, LLM and voice providers I developed the telephony architecture, real-time conversational pipeline, backend APIs, veterinary call flows, appointment logic, email integration, administration, deployment and real-call testing. The agent does not diagnose animals or replace veterinary judgment. Urgent, uncertain or clinically sensitive requests are handled according to configured escalation rules. This is an independently developed product, not a paid client project.
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245
Cover image for I designed and developed Anna
I designed and developed Anna Dental AI, a specialized phone receptionist for dental practices. The system answers real PSTN and SIP calls through FreeSWITCH and combines streaming speech recognition, LLM orchestration and low-latency voice synthesis to hold natural telephone conversations. Anna can answer questions about dental services, expected price ranges, business hours, providers and clinic policies. It can identify the requested treatment, match the caller with an appropriate provider, check configured availability and guide the caller through an appointment request. The system also includes: • Real US telephone and SIP call handling • Dental service and provider matching • Price, hours, location and policy questions • Appointment booking, rescheduling and cancellation flows • Email confirmations and appointment management links • Safe escalation for unresolved or sensitive requests • Call recordings, transcripts and structured summaries • Appointment status and administrative review • Configurable services, staff, schedules and agent instructions • Replaceable speech recognition, LLM and voice providers I developed the telephony architecture, real-time voice pipeline, backend APIs, appointment workflows, email integration, web administration, deployment and testing. The agent is designed for administrative communication and scheduling. It does not provide diagnoses or replace professional clinical judgment. This is an independently developed product, not a paid client project.
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Cover image for I built a workflow that
I built a workflow that turns a business website into a testable AI phone receptionist. The system analyzes the website, extracts services, staff, opening hours, policies, and other relevant information, then creates an isolated voice-agent demo for that business. Instead of sending a generic recording, we can provide a real phone number that allows the business to test the agent through an actual call. When the website or scheduling system supports an integration, the agent can check availability and book appointments during the call. Otherwise, it safely captures the caller’s details and preferred time for staff follow-up. If a business decides to continue after the demo, the same foundation can be expanded into a production receptionist with databases, customer-specific business rules, calendar and CRM integrations, confirmations, call summaries, analytics, and administrative controls. The extracted information can also reveal gaps in the business website. Its content and structure can then be improved so both visitors and the AI receptionist receive clearer, more reliable information. The main lesson I share is that website extraction alone is not enough. Information must be normalized, validated, and restricted to the source material before it can be used safely in a live voice conversation. The demonstration uses a fictional dental clinic and real recordings from my working voice-agent system. No patient data, real customer information, or invented testimonials are included. I used Descript to assemble and refine the presentation, edit the narration and real-call sections, create captions, and prepare the final submission.
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533
Automation & Data Analytics | SQL | Power BI | Excel | R
Automation & Data Analytics | SQL | Power BI | Excel | R
Cover image for 📊 Sales Performance Analytics Dashboard
📊 Sales Performance Analytics Dashboard (Power BI) This Power BI dashboard was developed as part of a technical case study to demonstrate a business‑first approach to performance analytics. The report is designed to support both executive‑level decision‑making and operational sales management by focusing on: Revenue performance tracking Key performance drivers (Orders & Average Order Value) Team‑level performance monitoring Individual agent insights Data quality validation and exception handling 🔎 Key Functional Areas Executive Overview Provides a high‑level summary of Net Revenue and its primary drivers, supported by a monthly trend and rolling average to identify emerging performance patterns and reduce short‑term volatility. Performance Diagnostics (Region × Time) Enables root‑cause analysis by highlighting when and where performance changes occurred across regions and time periods. Sales Team Monitoring Supports day‑to‑day management through ranked team performance metrics, enabling prioritization of coaching or follow‑up actions. Agent‑Level Analysis Offers a focused performance view per individual contributor, including category mix and territory‑level revenue drivers. Data Quality Monitoring Separates adjustments (e.g. returns, discounts) from gross performance to prevent misleading KPI interpretation. 💼 Business Value Designed to: Monitor operational performance Identify revenue drivers behind month‑over‑month changes Detect under‑ or over‑performing teams Support targeted coaching Enable fast, data‑driven decision‑making 🛠 Tools & Concepts Used Power BI Data Modeling (Fact / Dimension) KPI Design MoM Analysis Driver‑Based Revenue Monitoring AOV Tracking Data Quality Checks
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184
javascript expert
Software Engineer who lives and breathes with Code.
1x
Hired
5.0
Rating
3
Followers
Software Engineer who lives and breathes with Code.