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Hunzla U.

@hunzlau

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AI Engineer

$45 USD / Stunde
・
Flagge von
Pakistan (2:15 PM)
・
Joined on Januar 15, 2025
$45 USD / Stunde
・
As a Principal Software Infrastructure Engineer with over 5 years of experience, I specialize in architecting scalable software solutions that enhance operational efficiency and drive business innovation. My expertise spans the development of resilient AI-driven systems, the management of complex DevOps environments, and the design of robust VoIP platforms. I possess a strong foundation in AWS infrastructure, allowing me to leverage advanced technologies that ensure high-performance, secure, and cost-effective solutions tailored to meet enterprise needs.
Überprüfungen
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Portfolio

Portfolio

12466928
Efficient omni-channel communication automation using Zapier, Twilio, Waha, and Wati. Integrate Facebook via Zapier for seamless social media interactions. Twilio manages bulk and single email/SMS dispatch, ensuring reliable and scalable communication. WhatsApp messaging is managed through Waha and Wati, maintaining effective audience reach. Real-time notifications provide immediate alerts and updates upon message delivery. Customizable workflows adapt to various business needs, supporting multi-channel deployments and dynamic messaging strategies.
Omni-Channel Messaging Automation
12466916
Developed a RAG-based chatbot integrating OpenAI/Gemini with FAISS and Redis for vectorized data retrieval. Built with Python (FastAPI, Flask) and transformers for seamless LLM response generation. Automated query encoding and context retrieval using Sentence Transformers (BERT/RoBERTa). Deployed via Docker for scalability and AWS Lambda for optimized performance. Enabled real-time user feedback loops to improve chatbot responses. Supported multi-platform deployment with APIs for frontend integration.
Generative AI RAG Chatbot withVector
12466884
Integrated OpenAI's GPT-4 with Asterisk to enhance IVR systems for automated customer service. Developed dynamic, context-aware voice interactions using Python and AGI for seamless communication. Enabled multi-language support and real-time sentiment analysis to improve caller experience. Automated call escalations, preserving context for smooth agent handoffs. Implemented Docker for scalable deployment, handling high call volumes efficiently. Reduced call handling time and operational costs by automating routine queries and FAQs.
OpenAI & LLM Integration in Asterisk
12462272
● Developed Intelligent Quality Assurance for Contact Center call recordings, utilizing cutting-edge AI technologies. ● Implementedcall transcription in English and fine-tuned an Urdu model using Whisper for accurate multilingual support. ● Implementedsentimental analysis with XLS-R to gauge customer emotions and agent performance. ● Integrated keyword detection to identify critical topics and trends within calls. ● Established an automated call scoring system, providing objective quality metrics for performance evaluation.
AI-Powered QA for Speech & Text
12462263
-- Integrated LlaMA 2 and RoBERTa models to build an advanced voice bot for customer service automation. - Developed speech-to-text and text-to-speech systems using LlaMA 2 for seamless voice interactions. - Used RoBERTa for intent recognition and response generation, enhancing conversation quality. - Implemented low-latency real-time voice processing for a smooth user experience. - Applied machine learning to improve bot responses based on user interactions. - Deployed the voice bot in cloud environments for scalability and high availability.
Llama2/ Voice-Bot Development
12466928
Efficient omni-channel communication automation using Zapier, Twilio, Waha, and Wati. Integrate Facebook via Zapier for seamless social media interactions. Twilio manages bulk and single email/SMS dispatch, ensuring reliable and scalable communication. WhatsApp messaging is managed through Waha and Wati, maintaining effective audience reach. Real-time notifications provide immediate alerts and updates upon message delivery. Customizable workflows adapt to various business needs, supporting multi-channel deployments and dynamic messaging strategies.
Omni-Channel Messaging Automation
12466916
Developed a RAG-based chatbot integrating OpenAI/Gemini with FAISS and Redis for vectorized data retrieval. Built with Python (FastAPI, Flask) and transformers for seamless LLM response generation. Automated query encoding and context retrieval using Sentence Transformers (BERT/RoBERTa). Deployed via Docker for scalability and AWS Lambda for optimized performance. Enabled real-time user feedback loops to improve chatbot responses. Supported multi-platform deployment with APIs for frontend integration.
Generative AI RAG Chatbot withVector
12466884
Integrated OpenAI's GPT-4 with Asterisk to enhance IVR systems for automated customer service. Developed dynamic, context-aware voice interactions using Python and AGI for seamless communication. Enabled multi-language support and real-time sentiment analysis to improve caller experience. Automated call escalations, preserving context for smooth agent handoffs. Implemented Docker for scalable deployment, handling high call volumes efficiently. Reduced call handling time and operational costs by automating routine queries and FAQs.
OpenAI & LLM Integration in Asterisk
12462272
● Developed Intelligent Quality Assurance for Contact Center call recordings, utilizing cutting-edge AI technologies. ● Implementedcall transcription in English and fine-tuned an Urdu model using Whisper for accurate multilingual support. ● Implementedsentimental analysis with XLS-R to gauge customer emotions and agent performance. ● Integrated keyword detection to identify critical topics and trends within calls. ● Established an automated call scoring system, providing objective quality metrics for performance evaluation.
AI-Powered QA for Speech & Text
12462263
-- Integrated LlaMA 2 and RoBERTa models to build an advanced voice bot for customer service automation. - Developed speech-to-text and text-to-speech systems using LlaMA 2 for seamless voice interactions. - Used RoBERTa for intent recognition and response generation, enhancing conversation quality. - Implemented low-latency real-time voice processing for a smooth user experience. - Applied machine learning to improve bot responses based on user interactions. - Deployed the voice bot in cloud environments for scalability and high availability.
Llama2/ Voice-Bot Development
Änderungen wurden gespeichert
0.0 · 0 Reviews
Bewertungen
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Erfahrung
AI Development Consultant
Aug., 2024 - Aktuell
•
5 Monate, 7 Tage
Tech Vezoto
Aug., 2024 - Aktuell
•
5 Monate, 7 Tage
After gaining experience in the market and diving into machine learning concepts, I was recontacted by Techvezoto to join as a consultant. In this role, I work closely with the newly developed AI development department to identify and remove roadblocks, streamline processes, and optimize workflows. My goal is to provide technical guidance and strategic solutions to help the team overcome challenges and enhance productivity.
Flagge von
lahore, Pakistan
Aug., 2024 - Aktuell
•
5 Monate, 7 Tage
Technical Lead
Aug., 2023 - Aktuell
•
1 Jahr, 5 Monate
Intersoft AI
Aug., 2023 - Aktuell
•
1 Jahr, 5 Monate
At Intersoft, I led a team of AI interns on projects like the Omnichannel POC, VocalIQ QA project, and demos of AI voicebots and calling systems using AI tools. I mentored them in different technologies focused on Prompt Engineering and finetuning models, helping them build hands-on experience with the latest tech. It was an amazing experience developing their skills and delivering impactful solutions together.
Flagge von
Texas, United States
Aug., 2023 - Aktuell
•
1 Jahr, 5 Monate
Software Engineer
Dez., 2022 - Aug., 2023
•
8 Monate
The Mejor Communications
Dez., 2022 - Aug., 2023
•
8 Monate
Here l boosted my Career being a part team. I collaborated with all my colleagues achieving numerous skills to uplift my career. I worked and learned data science and machine learning basics to make new and creative products getting valuable appreciations and oppurtunities to explore my energy. Fine tuned models like T5 and whisper.
Flagge von
lahore, Pakistan
Dez., 2022 - Aug., 2023
•
8 Monate
Bildung
Lahore University of Management Sciences
2024 - 2025
•
1 Jahr
Data Science and Machine Learning Using Python
Flagge von
Pakistan
2024 - 2025
•
1 Jahr
Virtual University of Pakistan
2022 - 2025
•
3 Jahre
bachelor in computer science
Flagge von
Pakistan
2022 - 2025
•
3 Jahre
Qualifikationen
Azure Developer Associate
2022
Microsoft Certified
Recognizes your proficiency in developing, deploying, and maintaining cloud applications on Microsoft Azure. This certification covers key skills such as integrating Azure services, implementing security measures, and troubleshooting cloud-based solutions. It highlights your ability to build scalable applications using tools like Azure Functions, Logic Apps, and Cosmos DB, making you a strong fit for roles that require in-depth knowledge of Azure development.
2022
DevOps Engineer Expert
2022
Microsoft Certified
Azure DevOps certification validates expertise in designing and implementing DevOps practices using Microsoft Azure. It covers source control, CI/CD, and deploying applications with automation tools like Azure Pipelines and Kubernetes. This certification highlights skills in orchestrating scalable cloud solutions, making you a strong candidate for roles focused on optimizing cloud infrastructure and development workflows..
2022
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