Post a Job Free
0 viewsjobseeker
Syed M. — Senior AI Engineer from Pakistan

Syed M.

Senior AI Engineer

Pakistan 3-6 years
Open to offersNew to Platform
Languages
English
Video Introduction
No video introduction yet
The candidate has not added a video.
Contact information and social networks are private. Connect to unlock.
Hidden

About

Syed M. F. is a distinguished Sr. AI Engineer currently contributing remotely to Killens Enterprise Consulting, based in Austin, Texas. With a commendable background in AI-driven projects, he excels in developing platforms such as AIPS, a no-code bot marketplace, and Jailbots, providing AI through SMS to incarcerated individuals in the US. He employs tools like LangChain, Django, Pinecone, and Twilio to spearhead these initiatives. Previously at CareCloud Inc, he engineered an EHR solution enhancing medical billing workflows and implemented NLP for clinical notes analysis. His academic path led him to earn a MS in Data Science from NED University of Engineering & Technology, complementing his BS in Computer Science from the University of Karachi, where he graduated as a Gold Medalist. His technical prowess spans across multiple frameworks such as PyTorch, TensorFlow, and various AI Development Libraries, enabling significant advancements in healthcare AI, speech recognition, and computer vision fields. Syed continues to drive innovation, proven by his publications in established journals and his involvement in impactful AI projects.

Experience

  • Sr. AI Engineer

    Killens Enterprise Consulting, Kkss LLC · 2025 — Present
    Contributed to the development of AIPS, a no-code bot marketplace for AI bots using LangChain, Django, and Pinecone. Led the creation of Jailbots, offering incarcerated individuals in the US AI access via SMS and voice services, employing Twilio, RingCentral, FastAPI, and WebSockets. Engaged in developing an AI-powered e-commerce platform that uses stance scoring based on users' preferences, integrating LangChain, Plaid, and Django.

  • AI Engineer

    CareCloud Inc · 2024 — 2025
    Involved in the call auditing product's development, utilizing Whisper AI and large language models to evaluate customer support performance in recorded calls. Created an AI-powered EHR solution that automates billing processes and enhances efficiency for US healthcare providers. Applied natural language processing solutions to extract information from unstructured clinical notes for improved medical coding. Developed a tool for real-time validation of medical insurance cards to streamline patient registration and billing.

  • AI Research Specialist

    Aga Khan University Hospital · 2024 — 2025
    Created a learning platform for post-graduates featuring LLM-powered, personalized AI-driven content. Developed an AI-based Flutter application for real-time detection of decayed teeth, achieving high performance tested on a community of over 1700 people. Trained a diffusion-based model to synthesize fake OPGs, reaching a Frechet Inception Distance (FID) of 25.5, evaluated by senior dentists. Designed a RAG-driven dental trauma application for real-time guidance on children's dental injuries. Led a project for predicting bone loss in periapical radiographs to aid early peri-implantitis diagnosis.

  • AI/ML Engineer

    Appedology Pvt. Ltd. · 2023 — 2024
    Directed the creation of an automated Data Science Agent employing Llama2 and DeepSeek LLMs for data issue detection and actionable insights. Enhanced OCR models with DocTR, improving text extraction accuracy within the document pipeline. Addressed performance and data drift challenges in MLOps to maintain operational effectiveness.

  • Research Associate

    Centre for Software Research & Development (CSRD) · 2021 — 2023
    Trained and fine-tuned state-of-the-art Computer Vision and NLP models including YOLO, ResNet, U-Net, Mask R-CNN, GANs, and Transformers. Evaluated custom ML/DL models through frameworks such as TensorFlow, Keras, PyTorch, and scikit-learn. Kept current on AI advancements via literature reviews and participation in ongoing research projects.

  • AI/ML Intern

    Proxima AI · 2021 — 2021
    Collected, cleaned, and preprocessed data for machine learning applications. Trained and validated ML/DL models utilizing TensorFlow and scikit-learn. Assisted in model selection, training, and hyperparameter tuning to enhance model performance.

Skills & Expertise

Machine Learning EngineerAI and Data ScienceAI EngineerData ScientistComputer Vision Engineer

Education

  • MS in Data Science
    NED University of Engineering & Technology · 2021 — 2023
  • BS in Computer Science
    University of Karachi · 2017 — 2021