Prajwal Sridhar profile photo 1 on Tal

Prajwal Sridhar

🚀 Data Scientist | Machine Learning Maven | Data Insight Orchestrator | Royal Holloway Alum | Crafting Data Narratives & Enabling Decision Intelligence 📊

Bengaluru

3+ years of work experience

EyRes.AI
Sep 20242 yrs 1 moPresent

Driving AI Innovation in industrial inspection, leading a team in research and implementation of cutting-edge computer vision solutions for defect detection, anomaly analysis, and automated quality control. • Developed and Deployed advanced object detection and segmentation models to automate defect identification, reducing false positives by 40% and enhancing defect classification accuracy. • Designed an OCR model, enabling automated text recognition for quality control and production tracking. • Pioneered research in anomaly detection, leveraging Autoencoder and other anomaly detection for real time defect identification and predictive maintenance. • Optimized inference pipelines by converting models to torchscript, reducing processing time by 30% for seamless real-time deployment. • Spearheaded multiple high impact proof of concepts projects, delivering scalable AI solutions for industrial measurement and inspection under tight deadlines. • Implemented object tracking in video streams enhancing real time monitoring of industrial components. • Leveraged Generative AI APIs to generate poster templates and dynamically create text and images. • Automated content generation based on predefined categories such as product type, season, and sale type.
EyRes.AI
Apr 20245 mosAug 2024

• Contributed to the world’s first AI driven tire inspection system, revolutionizing industrial defect detection with real-time deep learning solutions. • Engineered defect localization logic, improving precision in defect categorization and cutting misclassification rates by 25%. • Designed a synthetic defect generation framework to address class imbalance, boosting model accuracy by 20% with enhanced data augmentation strategies.
Speedy Mentors
Apr 20234 mosJul 2023

United Kingdom

• Interpreted data, analysed the result, and created analytical report. • Created rich interactive visualizations through data interpretation and analysis using Google Data Studio. • Provided technical expertise on data cleaning. • Created database connections, schema, and developed queries using SQL commands. • Developed programming scripts, plots, and analyse data using R and Python. • Assisted senior data analyst as needed.
Subway
Feb 202210 mosNov 2022

United Kingdom

• Multi-tasked as a Sandwich artist and cashier, ensuring efficient operations • Administered the cash register and seamlessly processed customer orders • Executed weekly inventory assessments and strategically scheduled staff shifts to optimize service quality

Prajwal’s AI Stack

claude code
claude code
hugging face
hugging face
openai
openai
ChatGPT
ChatGPT

Education

Royal Holloway, University of London

Master's degree, Machine Learning

Royal Holloway, University of London

20211 yr2022
nitte meenakshi institute of technology

Bachelor's degree, Information Technology

nitte meenakshi institute of technology

20174 yrs2021

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Headline

🚀 Data Scientist | Machine Learning Maven | Data Insight Orchestrator | Royal Holloway Alum | Crafting Data Narratives & Enabling Decision Intelligence 📊

About

Greetings! I am Prajwal Sridhar, a dynamic Data Scientist specializing in Computer Vision, Machine Learning, and Deep Learning. With a master's degree in Machine Learning from Royal Holloway, University of London, I excel at transforming intricate data into actionable, strategic insights using state-of-the-art techniques. 🔍 What I Bring to the Table: • Deep expertise in computer vision—including object detection, segmentation, anomaly detection, and generative models—leveraging cutting-edge frameworks like YOLO, Detectron2, Pix2Pix, Cycle GAN, and OpenCV. • Proven leadership, currently steering a team of five to drive both innovative research and practical implementation, ensuring AI models are not only efficient but also seamlessly integrated into real-world applications. • Robust technical skills in Python, and SQL, underpinned by a solid foundation in advanced analytics and algorithm development. Interests: Beyond decoding complex datasets and architecting AI solutions, I find balance on the cricket pitch, where leadership and teamwork come to life. Let’s embark on a data-driven odyssey together. Whether you’re looking to tackle a challenging project, explore potential collaborations, or simply chat about the latest advancements in deep learning and computer vision, I’m always ready to connect. Drop me a line!

Location

Bengaluru

AI stack

claude code

hugging face

openai

ChatGPT

Work experience

Data Scientist at EyRes.AI, Sep 2024 - Present · 2 yrs 1 mo, Driving AI Innovation in industrial inspection, leading a team in research and implementation of cutting-edge computer vision solutions for defect detection, anomaly analysis, and automated quality control. • Developed and Deployed advanced object detection and segmentation models to automate defect identification, reducing false positives by 40% and enhancing defect classification accuracy. • Designed an OCR model, enabling automated text recognition for quality control and production tracking. • Pioneered research in anomaly detection, leveraging Autoencoder and other anomaly detection for real time defect identification and predictive maintenance. • Optimized inference pipelines by converting models to torchscript, reducing processing time by 30% for seamless real-time deployment. • Spearheaded multiple high impact proof of concepts projects, delivering scalable AI solutions for industrial measurement and inspection under tight deadlines. • Implemented object tracking in video streams enhancing real time monitoring of industrial components. • Leveraged Generative AI APIs to generate poster templates and dynamically create text and images. • Automated content generation based on predefined categories such as product type, season, and sale type.

Jr Data Scientist at EyRes.AI, Apr 2024 - Aug 2024 · 5 mos, • Contributed to the world’s first AI driven tire inspection system, revolutionizing industrial defect detection with real-time deep learning solutions. • Engineered defect localization logic, improving precision in defect categorization and cutting misclassification rates by 25%. • Designed a synthetic defect generation framework to address class imbalance, boosting model accuracy by 20% with enhanced data augmentation strategies.

Trainee Data Analyst at Speedy Mentors, Apr 2023 - Jul 2023 · 4 mos, United Kingdom, • Interpreted data, analysed the result, and created analytical report. • Created rich interactive visualizations through data interpretation and analysis using Google Data Studio. • Provided technical expertise on data cleaning. • Created database connections, schema, and developed queries using SQL commands. • Developed programming scripts, plots, and analyse data using R and Python. • Assisted senior data analyst as needed.

Cashier at Subway, Feb 2022 - Nov 2022 · 10 mos, United Kingdom, • Multi-tasked as a Sandwich artist and cashier, ensuring efficient operations • Administered the cash register and seamlessly processed customer orders • Executed weekly inventory assessments and strategically scheduled staff shifts to optimize service quality

Education

Master's degree, Machine Learning, Royal Holloway, University of London

Bachelor's degree, Information Technology, nitte meenakshi institute of technology