Introduction to Git and GitHub

Introduction to Industry 4.0 and Industrial Internet of Things

Agile Meets Design Thinking

Building Web Applications in PHP

Mathematics for Machine Learning: Linear Algebra

Blockchain Revolution Specialization

Convolutional Neural Networks in TensorFlow

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Natural Language Processing in TensorFlow

Sequences, Time Series and Prediction

TensorFlow in Practice Specialization

Deep Learning Specialization

Sequence Models

Structuring Machine Learning Projects

Blockchain Opportunity Analysis

Blockchain and Business: Applications and Implications

Convolutional Neural Networks

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Introduction to Blockchain Technologies

Transacting on the blockchain

Deep Learning for Beginners: Neural Networks in R Studio

Neural Networks and Deep Learning

Career Edge - Knockdown the Lockdown

Tensorflow 2.0: Deep Learning and Artificial Intelligence

Python for Data Science and Machine learning Bootcamp

Spark and Python for Big Data with PySpark

Cloud Digital Leader

Amazon Web Services Cloud Practitioner

<p class="leading-6">Music Therapist for Cancer Patients. 🎹</p>

Music Therapist

Bachelor of Engineering - BE

High School

Tech Stack: Golang, Kyber (Cryptography Library), OpenVPN, Python.
• Developed a Threshold-based Key Signing System for cryptographic wallets, a multi-party key signing system based on the BLS digital signature algorithm - 25% faster with signature aggregation and batch verification.
• Deployed on a P2P Architecture that supported anonymous and asynchronous signing. 
• Developed a POC for transaction flagging with Python, scikit-learn and Flask.
• Worked with solidity to develop smart contracts.

Research And Development Intern

• Designed a Machine Learning pipeline to simulate and classify UE-VBS Devices in Ultra-Dense 5G networks.
• Conducted a comprehensive study with multiple classification and clustering algorithms. Results showed up to a 5 times increase in data transmission rate and an 11% increase in the Quality of Experience (QoE).

Research Intern

• Certifications: AWS Certified Cloud Practitioner, GCP Cloud Digital Leader.

Project: Digital Twin [Current]
• Tech Stack: React.js, Express.js, Nx, TypeORM, TimescaleDB, Redis, Azure, PostgreSQL
• Developing a dashboard for employees and managers to view people engagement metrics, people demographic metrics and performance metrics. 
• Building an API for developers to access the data and generate reports that aid data-driven development.

Training:
• Tech Stack: Java/ Springboot, React.js, Typescript, AWS, PostgreSQL, Jmeter, Jenkins.
• Worked with JWT/Oauth for microservices. Developed widgets and UI elements with React.js. Conducted stress tests using Jmeter.
• Reduced the response times of API endpoints using Async methods by up to 90%. API calls became 17 times faster.

Associate SDE-1 | Trainee

ASDE-1 @ Publicis Sapient; Ex-R&D Intern @ Zebpay; Ex-ML Intern @ the University of Cyprus; CS @ SSNCE; AWSx1; GCPx1;

github

hashnode

medium

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Know about Sriram M’s work experience, education, cohorts, certifications, and much more. Sriram M