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Featured Deep Learning Developers
Tianchang Liu
Senior Machine Learning Engineer with 10+ years of experience building and deploying scalable AI systems across computer vision, NLP, generative AI, and MLOps. I've led end-to-end ML projects from real-time edge inference to LLM-powered applications, with a focus on performance, reliability, and impact. My work spans startups and enterprises, including Mashgin, Gensyn, Voyage, and Amazon. Skilled in Python, Go, Kubernetes, TensorRT, DeepSpeed, and cloud infrastructure, I specialize in shipping production-grade AI that solves real-world problems.
Emanuel Ceballos
I'm a Senior Python Engineer with over 10 years of experience building AI-driven systems, full-stack applications, and scalable APIs. I specialize in machine learning, NLP, computer vision, and LLMs, and I’ve deployed production-ready solutions using Python, FastAPI, TensorFlow, PyTorch, and Docker. I’m passionate about turning complex problems into clean, reliable software and thrive in remote, collaborative environments.
Saad Siddiqui
I'm a Lead Data Scientist and Machine Learning Engineer with 10+ years of experience building and deploying AI/ML systems across telecom, healthcare, and finance. I specialize in LLM applications, deep learning, NLP, and end-to-end ML pipelines. At Afiniti, I led the development of a RAG-based ChatGPT platform, agentic video generation workflows, and AI-driven call analytics. My background also includes recommender systems, real-time optimization, and cloud-native deployment. I'm currently pursuing an MS in Computer Science (ML specialization) from Georgia Tech with a 3.9 GPA.
Emrah
Highly accomplished Senior AI/ML Data Scientist with over a decade of expertise in developing, optimizing, and deploying sophisticated machine learning models, deep learning frameworks, and AI-driven solutions. Proficient in designing and implementing advanced predictive analytics, large-scale natural language processing (NLP) architectures, and state-of-the-art computer vision applications. Extensive experience in Python programming, leveraging frameworks such as TensorFlow, PyTorch, Scikit-learn, FastAPI, and Flask for end-to-end AI model development and deployment. Demonstrated expertise in MLOps, CI/CD pipelines, containerization, and cloud-based deployments using AWS, Azure, GCP, Docker, Kubernetes, MLflow, Terraform, and Snowflake.
Ethan Zhou
I am an interdisciplinary researcher with over 15 years of experience in biomedical informatics, AI, and health data science. My work spans machine learning, natural language processing, and multi-omics integration for clinical and translational research. I have led international teams, published extensively in peer-reviewed journals, and served as an associate editor in top scientific publications. I specialize in developing scalable, data-driven solutions for complex biomedical challenges.
Selvakumar Ulaganathan
I’m an AI/ML Consultant with 10+ years of experience delivering end-to-end machine learning solutions across sectors like pharma, energy, insurance, and manufacturing. I specialize in building scalable AI systems including GenAI, computer vision, and edge AI using tools like PyTorch, TensorFlow, Azure, and AWS. As Founder of MLGlow, I’ve led diverse AI projects from R&D to production, helping clients solve real-world problems with cutting-edge technologies. I thrive in fast-paced, collaborative environments focused on innovation and impact.
Ilya Patrushev
You might be looking to hire someone to solve a data problem or work on your Python, SQL or C++ project backlog. For over 20 years, I’ve been applying data science and engineering to solve real-life problems faced by both businesses and experimental scientists. Whilst scientific employments were heavy on ML, statistical modelling and data analysis, the employment with the retailer helped me to build contemporary engineering skills. You will hire a professional with a versatile skill set and the experience of working in multidisciplinary teams, who will: • help you find a data-driven solution to your business problem • architect/prototype the solution • implement solution working independently or as part of a team If you wish to discuss your project, let’s arrange a call.
James Irei
Experienced XR developer and engineering lead with a strong background in building immersive, cross-platform applications using Unity and C#. Proven track record delivering real-time 3D experiences, spatial computing solutions, and point cloud-based systems. Adept at leading multidisciplinary teams, rapidly prototyping and refining production-ready features, and bridging technical and non-technical stakeholders. Passionate about creating intuitive, high-impact XR solutions that blend innovation with usability.
Oscar Jordan Parra San Juan
I’m a data scientist and machine learning engineer with 5+ years of experience working on end-to-end ML solutions across industries such as Manufacturing, Energy, Software, among others. My background combines strong statistical analysis, machine learning, and software engineering skills.I’ve built models for predictive analytics, NLP, and computer vision, and have experience deploying them using tools like PyTorch, ONNX, and cloud platforms like GCP & AWS.
Divam Kesharwani
I'm a Data Scientist and ML Engineer with over 5 years of experience, mostly in the financial domain. I’ve worked on everything from building predictive models and NLP pipelines to scaling ML systems and deploying solutions in production. I hold a BTech in Computer Science and an MSc in AI from USC. I'm skilled in Python, SQL, cloud platforms (AWS, Azure, Databricks), and have hands-on experience with LLMs, generative AI, and deep learning. I enjoy solving tough problems, collaborating with diverse teams, and driving real business impact through data.
Ahmed Wahid
I'm a seasoned software engineer with 5+ years of experience developing data-driven applications and machine learning systems. My background spans both research and production environments, where I've designed and implemented solutions for natural language processing, recommendation systems, and data analysis pipelines. I excel at translating complex requirements into elegant solutions, optimizing performance, and ensuring production reliability. My experience includes working with Python, TensorFlow, PyTorch, and deploying models at scale using cloud services. I'm particularly skilled at fine-tuning models for specific domains and building robust data processing pipelines.
Techamana's talent pool features an extensive network of experienced Deep Learning developers ready to tackle your projects.
Begin HiringHow Techamana Vets Expert Deep Learning Talent
At Techamana, we maintain the highest standards in developer selection. Our Deep Learning experts undergo a comprehensive 4-step vetting process that evaluates technical skills, problem-solving abilities, communication skills, and team and culture fit. Only the top 5% of applicants pass our rigorous screening, ensuring you work with exceptional talent who can deliver outstanding results for your projects.
Technical Assessment
Rigorous coding challenges and problem-solving tests to evaluate Deep Learning proficiency and best practices.
Project Review
Thorough examination of past projects and contributions to open-source Deep Learning repositories to assess real- world experience.
Video Responses
Video responses for open-ended questions to assess problem-solving ability, communication skills, and team and culture fitment.
What to Look for When Hiring a Deep Learning Developer
When hiring a Deep Learning specialist, seek expertise in CNN, RNN/LSTM, and transformer architectures.
Candidates should tune hyperparameters, use GPU/TPU acceleration, prevent overfitting (dropout, augmentation), and build high-impact AI solutions.
Learn how Deep Learning is used in modern applications
Industry insights and best practices
Deep learning is a subfield of machine learning that utilizes artificial neural networks with multiple layers to extract higher-level features from data. Modern deep learning utilizes GPUs for faster training.
Image Recognition
Deep learning is used for image recognition tasks, such as object detection and image classification.
Natural Language Processing
Deep learning is used for natural language processing tasks, such as machine translation and sentiment analysis.
Speech Recognition
Deep learning is used for speech recognition tasks, such as converting spoken language into text.
Time Series Analysis
Deep learning is used for time series analysis tasks, such as forecasting and anomaly detection.
The Techamana Advantage
Majority of our clients choose to continue working with our talent after their initial project
Our screening and matching process ensures exceptional talent are matched to your precise needs.
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Hiring Deep Learning Developers is easy with Techamana
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