Ritik Jain

AI Video Interview Preparation System: Architected Flask microservice using GPT-4 Vision, MediaPipe, and Parselmouth to analyze posture, speech patterns, and professional presentation in real-time. Engineered scoring system evaluating 6 posture metrics and speech quality with <5 second latency using AWS S3 for video storage and FFmpeg for media conversion. Impact: Reduced interview prep time by 50-70%, serving 5,000+ candidates monthly. LinkedIn Profile Optimization Platform: Built 67-point weighted scoring algorithm analyzing 7 profile sections with PDF/HTML parsing at 95% accuracy. Developed advanced parser handling 13 date formats, multi-role experiences, and hyphenated locations using regex patterns. Impact: Automated reviews from 45 minutes to 3 minutes (93% reduction), processing 300+ profiles monthly. Platform Architecture & Scale: Led architecture for 20+ Django modules serving 10,000+ daily API requests with 99.9% uptime. Deployed on AWS EC2 with Docker, Nginx, and Gunicorn; implemented Celery for async processing. Impact: Scaled platform to 800K+ users with zero downtime deployments. AI-Powered Resume Builder & Optimization Engine: Created 15+ ChatGPT-powered tools for resume optimization, ATS compliance, job matching, and cover letter generation. Built recursive error-handling system achieving 98% API success rate with OpenAI GPT integration. Implemented keyword density analysis and ATS checker improving scores by 35% average. Impact: Generated 10,000+ optimized resumes serving core product to 50,000+ users. Enterprise Recruiter Platform: Developed end-to-end recruiter management system with candidate tracking, job pipelines, and communication workflows. Developed candidate communication system with email marketing automation, WhatsApp Business API integration, and event tracking. Impact: Onboarded 50+ enterprise clients, managing 25,000+ candidate profiles. Platform Infrastructure & DevOps: Containerized microservices using Docker with production-grade Dockerfiles and docker-compose configurations. Deployed on AWS EC2 with Nginx reverse proxy and Gunicorn, serving 10,000+ daily API requests. Implemented Celery async processing for resume parsing, AI job matching, email campaigns, and batch operations. Set up rotating log handlers with SMTP error notifications and centralized monitoring. Impact: Achieved 99.9% uptime, scaled to 70,000+ active users with zero downtime deployments. Enterprise SSO & Data Analytics: Designed and deployed Metabase dashboards for real-time monitoring of user engagement, conversion funnels, and revenue metrics. Impact: Established platform foundation serving 200+ daily resume generations and 100+ video interviews.

Developed the Resume Review project that evaluated resumes based on key parameters to highlight improvement areas, enhancing user feedback accuracy and relevance. Gained hands-on experience Django, contributing to both backend and frontend development tasks. Received a Pre-Placement Offer (PPO) for outstanding performance and project impact.