Help & Supportcareers@gravityer.com
Fullstack Engineer - AI with 1+ years in AI-powered voice platforms and full-stack development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Software Developer and AI/ML Engineer with 1+ year of hands-on experience building scalable full-stack web and mobile applications, AI-powered voice platforms, CRM systems, and intelligent workflow automation. Proficient in Python, Java, JavaScript, TypeScript, React.js, React Native, Node.js, and NestJS. Skilled in real-time technologies including WebSockets, Webhooks, Redis, and LiveKit. Experienced in RESTful API design, LLM integrations, speech-to-text/text-to-speech pipelines, automated messaging pipelines, and end-to-end application development with PostgreSQL and MongoDB.
RVS College of Arts and Science, Coimbatore
Master of Computer Application (MCA) · Software Engineering, AI/ML, Database Systems, Full-Stack Application Development
August 1, 2024 – June 30, 2026
RVS College of Arts and Science, Coimbatore
Bachelor of Computer Application (BCA) · Programming, Data Structures, Web Technologies, Database Management Systems
August 1, 2021 – June 30, 2024
Government Higher Secondary School, Kuthalam
HSC · Computer Science
June 1, 2020 – May 31, 2021
Hexite Technology Pvt Ltd
Full-Stack Developer & AI Engineer
May 1, 2025 – Present
Coimbatore, Tamil Nadu, India
ZenChat - Automated Messaging System
May 1, 2025 – Present
B2B conversational AI product serving 50+ clients at 1,000+ conversations/day — lead qualification, re-engagement, and customer support automation. Integrated with Zenvoice for AI-to-business-system workflow orchestration. Designed intent-based decision trees and multi-turn conversation flows, reducing manual agent intervention significantly across client pipelines. Built a custom React Flow-based visual chatbot builder with dynamic template creation and real-time conversation preview, enabling businesses to design and test AI chat workflows interactively.
CRM & Subscription Management Platform
May 1, 2025 – Present
Developed a full-featured CRM platform with subscription-based access control, Meta Ads lead integration, task and sprint management, attendance tracking, and automated invoice generation. Built real-time employee monitoring with live video feed and screen sharing; integrated SLA monitoring and automated escalation alerts for operational oversight and compliance. Integrated Razorpay payment gateway, WhatsApp and email notification channels, and role-based access control using Prisma ORM for secure, scalable data management.
AI Voice Agent Platform
May 1, 2025 – Present
Built a scalable AI-powered voice automation platform with real-time outbound/inbound calling, speech-to-text and text-to-speech pipelines, multi-turn conversation handling, customizable AI assistants, LLM model selection, and credit-based billing systems for enterprise use. Enabled businesses to configure intelligent voice agents with file-based knowledge training, TeleCRM number integration, multilingual support, and automated workflow execution for improved customer engagement. Integrated LiveKit for low-latency real-time audio streaming, Webhook-driven event pipelines for third-party connectivity, and AWS S3 for scalable knowledge asset management.
Python and Machine Learning
KodeKloud
May 1, 2026 – Present
Java
Infosys Springboard
May 1, 2026 – Present
C Programming (Basics)
Virtual Cyber Labs
May 1, 2026 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit for a dynamic, AI-focused engineering role. Their project portfolio showcases a clear passion for building innovative AI solutions, particularly in conversational AI and voice automation. The breadth of technologies used and the diversity of projects (AI voice agents, CRM, chatbots) suggest adaptability and a willingness to tackle varied technical challenges. Their experience with enterprise-level solutions and focus on operational metrics (e.g., calls/day) aligns with a results-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities through architecting complex real-time and AI-driven systems. Their focus on scalability, production-grade solutions, and user-friendly interfaces (no-code configuration) indicates a product-oriented mindset. Attention to detail is evident in mentions of structured error handling, input validation, and query optimization. While not explicitly stated, the nature of their projects suggests an ability to work effectively in a technical team environment.