Lie Detection System
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Summary
Built supervised learning models with TensorFlow on 10,000+ images to analyze facial cues in AI research, applying them to refine solutions and design end-to-end ML systems and frameworks.
About
Results-driven Cloud Engineer with a Master's in Business Analytics and Artificial Intelligence, specializing in architecting and optimizing scalable machine learning pipelines within high-stakes production environments.
Proven expertise in AWS, Python, SQL, Docker, and Kubernetes, consistently delivering solutions that enhance data ingestion, boost operational efficiency by 5%, and reduce inference latency by 35%.
Eager to leverage advanced AI/ML capabilities and robust cloud infrastructure skills to drive innovation and deliver impactful, data-driven solutions.
Work
09 Solutions
|Cloud Engineer
Bangalore, Karnataka, India
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Summary
As a Cloud Engineer at 09 Solutions, I have architected and implemented scalable cloud and ML infrastructure solutions, optimizing data processes and operational efficiency for high-stakes production environments.
Highlights
Architected and deployed scalable machine learning pipelines within a high-stakes Mondelez production environment using AWS, Python, SQL, Docker, and Kubernetes, enhancing data ingestion and modeling efficiency by 5% to deliver critical insights and optimize cloud deployment.
Implemented the ELK Stack (Elasticsearch, Logstash, Kibana) to resolve monitoring inefficiencies, boosting operational efficiency by 5% and ensuring robust data quality and data warehouse stability for improved scalability and reliability.
Moksa.ai
|Computer Vision Intern
Bangalore, Karnataka, India
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Summary
As a Computer Vision Intern at Moksa.ai, I have developed and optimized real-time ML pipelines for security applications, achieving high accuracy and significantly reducing inference latency.
Highlights
Developed real-time ML pipelines using TensorFlow, OpenCV, and Azure DevOps for security applications, achieving 90% accuracy on datasets with YOLO for theft detection, integrating cloud-based data modeling and troubleshooting.
Optimized neural network architectures via A/B testing and collaborative methods, reducing inference latency by 35% and refining production datasets to enhance performance and cloud system stability.
Volunteer
Google Student Developer Club
|Technical Lead Volunteer
Bangalore, Karnataka, India
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Summary
As a Technical Lead Volunteer at Google Student Developer Club, Shrenik led and mentored students in ML/data science competitions, fostering engagement and collaboration while coordinating with industry experts.
Highlights
Led 5+ ML/data science competitions for 200+ students, utilizing Python and SQL to analyze feedback and boost engagement by 25%, fostering collaborative problem-solving and insightful discussions.
Collaborated with industry experts and mentors on advanced model deployment and experimentation methodologies, effectively coordinating with diverse stakeholders to enhance project outcomes.
Education
The University of Texas at Dallas
Richardson, TX, United States of America
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Master
Business Analytics and Artificial Intelligence (AI)
Grade: 3.50/4.00
Courses
Recommendation Systems
Experimentation Design
Data Visualization
Amrita School of Engineering
Bangalore, Karnataka, India
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Bachelor
Computer Science and Electronics Engineering
Grade: 3.34/4.00
Courses
Machine Learning
Data Science
Statistical Analysis
Data Structures and Algorithms
Languages
English
Certificates
The Data Scientist's Toolbox
Convolutional Neural Networks in TensorFlow
Microsoft: Azure Fundamentals (AZ-900)
Issued By
Microsoft
Skills
Programming Languages
Python, R Programming, C/C++, JavaScript.
ML Frameworks & Libraries
TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib.
ML Infrastructure
Docker, Kubernetes, AWS SageMaker, AWS S3, AWS EC2, Code Review, Git, Airflow, Unix/Linux.
Cloud & Database Technologies
AWS, Azure, Databricks, Snowflake, MongoDB, SQL (Snowflake, Oracle), NoSQL DBs.
Software Development & Architecture
Object-Oriented Programming (OOP), Model View Controller (MVC), IPC, Process Scheduling, Networking Protocols (TCP/IP, Web-Sockets), Full-Stack Development (Node.js/React.js), Web Services (SOAP/REST API).
Soft Skills
Problem-Solving, Critical Thinking, Collaboration, Verbal/Written Communication.