Udayabhanu
Aich
Full-Stack Developer & AI Enthusiast
Building intelligent applications that bridge the gap between design and functionality. Specialized in modern web technologies, AI integration, and scalable architectures.
AboutMe
I'm a fullstack and AI engineer with expertise in building scalable Python-based systems and AI-powered applications using FastAPI, Django, and modern LLM technologies. Experienced in building real-time systems, RAG pipelines, AI proctoring solutions, and automated assessment platforms.
Currently working at SmallDay IT Services as a Software Developer, where I architected and delivered an end-to-end AI assessment platform that converts job descriptions into structured technical tests. I focus on scalable architecture, performance optimization, and maintainable production systems.
AWS Certified AI Practitioner with Master's degree in Computer Applications (MCA). Passionate about leveraging AI and modern technologies to solve real-world problems and create intelligent, user-centric solutions.
Skills& Expertise
Languages & Frameworks
Frontend
Databases & Backend
Cloud & AI/ML
Always Learning
The tech landscape evolves constantly. I'm committed to staying at the forefront of innovation, regularly exploring new tools, frameworks, and methodologies to deliver the best solutions.
FeaturedProjects
ProfessionalExperience
Project: Code{X}Pro
An online assessment platform
SmallDay IT Services
End-to-end AI-driven assessment platform that converts Job Descriptions into structured technical tests. Designed and implemented JD parsing pipelines, skill extraction, competency mapping, AI-based question generation, validation workflows, and admin approval systems. Architected with face recognition, gaze detection, and real-time proctoring dashboards using WebSockets for live monitoring. Reduced manual assessment creation effort and improved assessment scalability.
Key Achievements
- •AI-Driven Assessment & Job Description Mapping System
- •JD Parsing & Skill Extraction (Gemini API)
- •AI-Powered Question Generation & Competency Mapping
- •Face Recognition & Gaze Detection (TensorFlow)
- •Multi-Person Detection for Proctoring
- •Real-time Proctoring Dashboard (WebSockets)
- •Live Event Streaming & Monitoring
- •Admin Review & Approval Workflows
- •Real-Time Analytics Dashboard (SSE)
- •Role-Based Access Control (RBAC)
- •Real-time Notifications & Caching
- •Multi-User Monitoring (Low Latency)
- •Razorpay Payment Gateway Integration
- •Order Creation & Payment Verification
- •Refund & Webhook Handling
- •Transaction Monitoring & Fraud Prevention
- •API Key Management & Rotation
- •API Usage Analytics & IP Tracking
- •Quota Management & Developer Onboarding
- •Load Testing (JMeter) - MCQ, Coding, Proctored
- •API Performance Optimization & Query Tuning
- •Caching Strategies & Concurrency Tuning
- •AI-Powered Question Validation Systems
- •Code-Diff Judging (Python difflib)
- •Assessment Validation & Automated Evaluation
Tech Stack
Project: Call2Order - AI Voice Assistant
SmallDay IT Services
Built a two-way AI phone-call assistant using Twilio Voice and Google Gemini 2.5 Flash. Implemented real-time WebSocket event streams, multi-turn conversation handling, live transcription, and text-to-speech playback for seamless automated ordering and customer service interactions.
Key Achievements
- •Twilio Voice API Integration
- •Real-time Transcription & TTS
- •Multi-turn Conversation Flow
- •WebSocket Event Streaming
- •Gemini 2.5 Flash Integration
- •TwiML Generation & Webhooks
Let'sConnect
I'm always interested in hearing about new projects and opportunities. Whether you have a question or just want to say hi, feel free to reach out!