VOICE REAL-TIME TRANSLATION

I developed a prototype for real-time voice translation designed for eventual deployment on mobile devices. This project focused on creating efficient communication solutions by leveraging cutting-edge AI translation models and speech recognition technologies.

Key achievements include:

• Researched and implemented solutions for low-latency real-time voice communication
• Conducted comprehensive evaluations of various AI tools and their multi-language capabilities
• Explored on-device translation methods to reduce cloud platform dependencies
• Integrated advanced speech recognition with OpenAI Whisper and Deepgram technologies
• Optimized translation workflows to minimize delays in communication

Technologies used: Python • LiveKit • Whisper • OpenAI API • DeepSeek v3 • Deepgram

CUSTOM CHATGPT FOR EDTECH SUPPORT

I developed a specialized ChatGPT implementation to streamline support processes for an EdTech platform. By creating domain-specific documentation and precisely configuring the model, I built an AI assistant that accurately retrieves and delivers platform-specific information.

Key achievements include:

• Reduced support workload by automating responses to common platform inquiries
• Improved new user and client onboarding efficiency by 30-40%
• Created comprehensive domain-specific documentation for training the AI model
• Optimized model configuration for accurate information retrieval and contextual responses
• Implemented a user-friendly interface that increased self-service support adoption

Technologies used: OpenAI API • Vector Databases • Natural Language Processing • Knowledge Base Management • API Integration

ECOMMERCE STRIPE PAYMENT INTEGRATION

I conducted an extensive investigation and successfully resolved critical issues in the Stripe payment integration for the OpenedX platform. This project involved a deep dive into the Stripe payment flow, changing the payment interface.

Key achievements include:

• Conducted thorough analysis and optimization of the Stripe payment flow for enhanced efficiency
• Redesigned and improved the payment interface for better user experience and conversion rates
• Implemented advanced Stripe security measures to ensure compliance with European standards (GDPR, PSD2)
• Refactored payment services to incorporate industry-leading security practices and reduce vulnerabilities

Technologies used: Redux • JavaScript • React • Django • Redis • AWS • Celery

ESUPPORT

ESUPPORT is a sophisticated B2B lead generation solution that leverages the LinkedIn platform to build valuable business connections. The platform offers customized strategies and automated tools that enable businesses to engage effectively with potential clients. Our solution streamlines communication processes and campaign management, facilitating sustainable business growth through strategic B2B networking.

Key achievements include:

• Increased client outreach efficiency by 35% through optimized LinkedIn workflows.
• Designed and implemented automated messaging sequences to improve conversion rates.
• Integrated advanced analytics for campaign performance tracking and decision-making.

Technologies used: React • Django • FastAPI • Redis • MySQL • Bootstrap 4 • Azure

JOBSEEKER

JobSeeker is an innovative AI-powered CRM system that bridges the gap between talent and organizations. The platform streamlines the recruitment process by automatically generating tailored resumes from candidate submissions based on specific job requirements. Companies can efficiently review applications and schedule interviews through our intuitive interface, making the hiring process more efficient and effective.

• Developed an intelligent resume parsing and generation system tailored to job requirements.
• Designed an intuitive dashboard for recruiters to track, review, and schedule interviews effortlessly.
• Integrated robust AI models for skill matching, resulting in a 30% improvement in candidate-employer alignment.
• Implemented Docker-based deployment pipelines for seamless scalability and management.

Technologies used: FastAPI • React • Redux • PostgreSQL • Docker • Azure

Moving Valencia

Moving Valencia is a lightweight and cost-effective website designed as a digital business card. It offers essential information and contact details with a focus on simplicity and efficiency.

Key achievements:

• Developed using only CSS and HTML, ensuring lightning-fast load times.
• Completed the entire build process in a remarkably short timeframe.
• Achieved a highly affordable development process while maintaining quality.

Technologies used: • CSS • HTML • JS • Parcel

SLACK DESKTOP DISPATCHER

An asynchronous Slack bot designed to efficiently manage desktop resource allocation within organizations. This sophisticated solution handles user requests for selecting, releasing, changing, and canceling desktop assignments in real-time. The bot maintains system-wide transparency by automatically notifying all users about desktop availability and occupancy status, ensuring optimal resource utilization.

Key Achievements

• Developed a fully asynchronous bot ensuring real-time performance even under heavy load.
• Implemented robust notification logic to maintain transparent communication across the organization.
• Utilized advanced database handling with SQLAlchemy and Alembic for seamless desktop resource tracking.
• Deployed using Kubernetes, ensuring scalability and ease of maintenance.

Technologies used: SlackAPI • SQLAlchemy • Docker • Alembic • PostgreSQL • Async Python