Sollarasu P K

Machine Learning Engineer

Chennai, Tamil Nadu, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in designing AI solutions for real-world applications.
Proficient in building scalable ML pipelines and data engineering.
Strong foundation in both theoretical and practical aspects of Data Science.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI and Data Engineering within the tech industry.

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Skills

Core Skills

Machine LearningData Engineering

Other Skills

AIAWS EMRAmazon Elastic MapReduce (EMR)Amazon Web Services (AWS)Analytical SkillsApache SparkApplication Programming Interfaces (API)Artificial Intelligence (AI)BashBeautiful SoupBig Data AnalyticsBusiness UnderstandingCloud ComputingCommunicationComputer Vision

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Datacrew.ai

2 roles

AI/ML Enginner

Feb 2025 – Present · 1 yr 4 mos · Chennai, Tamil Nadu, India · On-site

Machine LearningAIData EngineeringMLOpsPythonSQL+1

AI/ML Enginner

Aug 2024 – Feb 2025 · 6 mos · Chennai, Tamil Nadu, India · On-site

Machine Learning Engineer | AI & Data Engineering
Passionate about AI, Deep Learning, and Data Engineering, with hands-on experience in building and deploying scalable ML solutions for various applications.
🔹 Machine Learning & AI:
Worked on Computer Vision, OCR, and Object Detection (YOLO) to automate real-world processes.
Developed Generative AI & LLM-based solutions for intelligent automation and data-driven insights.
Designed and optimized deep learning models for diverse AI applications.
🔹 Data Engineering & Big Data:
Built and optimized data pipelines using PySpark on AWS EMR for large-scale data transformations.
Managed and processing the data using PySpark to transform on large-scale.
🔹 MLOps & Model Deployment:
Developed end-to-end ML workflows, integrating model training, evaluation, and deployment.
Developed API-based solutions using FastAPI & Flask.
Constantly exploring new advancements in AI, Big Data, and MLOps to build innovative and scalable solutions.