Pritiranjan Biswal

Machine Learning Engineer

India2 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in developing AI-driven solutions for complex problems.
Proficient in machine learning model development and evaluation.
Passionate about continuous learning and innovation in AI.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI-driven solutions within the technology sector.

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Skills

Core Skills

Machine LearningData Science

Other Skills

Computer ScienceComputer VisionData PreprocessingData ProcessingData VisualizationDeep LearningDjangoEnglishFastAPIFeature EngineeringGenerative AIHyperparameter TuningLarge Language Models (LLM)Machine Learning AlgorithmsMathematics

About

As an AI Engineer, I am deeply passionate about leveraging artificial intelligence and machine learning to solve complex problems and drive innovation. With hands-on experience in developing predictive models, real-time strategy adapting AI, and system automation, I enjoy working at the intersection of data science and cutting-edge technology. I have experience in diverse projects, including AI-driven trading strategies, time-series forecasting, and system scalability in the cloud. My goal is to build intelligent systems that optimize performance, enhance decision-making, and deliver impactful results. If you are looking for someone who is committed to innovation and continuous learning in the field of AI, feel free to connect. Let’s collaborate and create AI solutions that make a difference.

Experience

Ntigra ai applications and services

Machine Learning Engineer

May 2025 – Present · 10 mos · Dubai, United Arab Emirates · Remote

Shamla tech solutions

AI Engineer

Jun 2024 – May 2025 · 11 mos · Coimbatore, Tamil Nadu, India · On-site

Sircle

Machine Learning Engineer

Dec 2023 – Jun 2024 · 6 mos · Varanasi, Uttar Pradesh, India · Remote

Developing and implementing machine learning models and algorithms to solve complex psychometric assessment problems.
Collaborating with cross-functional teams to design, build, and deploy scalable, efficient machine learning solutions.
Conducting data preprocessing, feature engineering, and rigorous model evaluation to ensure optimal model performance.
Continuously researching and applying the latest advancements in machine learning to enhance model accuracy and effectiveness.
Maintaining clear, comprehensive documentation of machine learning processes, methodologies, and results.

Machine LearningData PreprocessingFeature EngineeringModel EvaluationData Science