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Rai T. AI, Machine Learning and General Development

My name is Rai T. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, AI Agent Development, Deep Learning, LangChain, AI Chatbot, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Finance Management App, Whisper Transcription Service, AI Voice Agent for Healthcare, Travel Assistant, Sign Language to Text and Speech, etc.. I am based in Islamabad, Pakistan. I've successfully completed 10 projects while developing at Softaims.

I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.

The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.

I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.

Main technologies

  • AI, Machine Learning and General Development

    1 year

  • Machine Learning

    1 Year

  • AI Agent Development

    1 Year

  • Deep Learning

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

Finance Management App | AI + Next.js + FastAPI

Plurafi is a modern personal finance platform that helps users track expenses, manage money, and gain insights into financial habits. It securely aggregates bank data via Plaid, with a FastAPI microservices backend and MongoDB for scalability. An AI-powered service classifies expenses for accurate insights, while a Next.js frontend delivers a clean, intuitive experience. Plurafi turns fragmented financial data into clear dashboards, empowering users to analyze and improve their finances. https://personal-finance-frontend-brown.vercel.app/

Whisper Transcription Service | FastAPI + PyTorch

I built a serverless AI transcription API for fast, accurate speech-to-text across MP3, WAV, MP4, and MOV. It outputs JSON transcripts with speaker diarization, word-level timestamps, and language detection. The backend uses FastAPI with PyTorch + Whisper on GPUs, containerized via Docker, and deployed on Render for scalable, cost-efficient performance. Features include webhooks, background queues, and sub-2s/min audio processing.

AI Voice Agent for Healthcare | LiveKit + SparkTTS

A leading US healthcare chain sought to cut costs by 70% and gain control by replacing Google TTS with a custom AI Voice Assistant. We built Avery, a virtual nurse that manages inquiries, scheduling, and admin tasks with 90%+ accuracy. Using curated healthcare voice data, we fine-tuned Spark TTS on A100 GPUs for natural medical speech and integrated LLMs for fluency. LiveKit enables real-time responsiveness, while GKE ensures scalability and compliance. Avery now supports hundreds of users, improving efficiency and satisfaction.

Travel Assistant | RAG Chatbot

Swiss Travel Buddy is a multimodal AI travel assistant for Switzerland, using RAG and CLIP for text-image queries and landmark recognition. Built with FastAPI, ChromaDB, and a responsive Next.js frontend, it supports real-time, personalized guidance. It scrapes and embeds travel content, serves semantic search via microservices, and integrates Groq LLMs for dynamic responses. Achieves 95% query satisfaction, 87% image accuracy, and sub-3s response time for 100+ users across all Swiss regions.

Sign Language to Text and Speech | Python | OpenCV | Machine Learning

Custom AI solution that translates sign language into text and speech using computer vision. Built with Python, OpenCV, and deep learning (TensorFlow/Keras), it recognizes both letters and full words from hand gestures captured via webcam. The output is displayed as text and optionally converted to speech using gTTS or pyttsx3. Enhances accessibility for the hearing and speech-impaired.

Education

  • National University of Computer and Emerging Sciences

    Bachelor of Computer Science (BCompSc) in

    2021-01-01-2025-01-01

Languages

  • English
  • Panjabi, Punjabi
  • Urdu

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