Hello

I'm Uthappa, Akhil Uthappa

An Engineer

I'm an entrepreneur and the Co-founder of Talkvert.com, where I led product development for a virtual stage platform that empowers users to present via audio. My journey involved market research, user-centric product design, roadmap definition, collaboration with development teams, user testing, and successful product launch strategies.
In addition to my entrepreneurial pursuits, I'm a machine learning and software engineering virtuoso with a passion for soccer. I excel at crafting algorithms and building systems that prioritize efficiency. My coding strategy mirrors my game on the soccer field—anticipatory, tactical, and always striving for the goal. With expertise ranging from navigating the intricacies of Deep Learning to mastering Python paradises, I architect solutions that not only compute but also captivate. I lead data to dance to the rhythms of insightful analytics and steer projects with the precision of a seasoned engineer. Together, let's lace up our boots, set our sights on innovation, and score technological triumphs! I also like picking up new hobbies like sailing and snowboarding. I am already looking forward to snowboarding this year!

Machine Learning

Details about Machine Learning

Machine Learning

Supervised Learning: SVM, Neural Networks, Linear Regression
Unsupervised Learning: K-means, PCA, Hierarchical Clustering
Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs)
Ensemble Methods: Random Forest, Gradient Boosting Machines (GBM), XGBoost, LightGBM
Model Evaluation: Cross-Validation, ROC-AUC, Precision-Recall, F1 Score
Optimization Techniques: Gradient Descent, Stochastic Gradient Descent, Adam Optimizer
Time Series Analysis: ARIMA, Seasonal Decomposition, Prophet
Natural Language Processing
Computer Vision
Reinforcement Learning
Library Proficiency: Scikit-learn, TensorFlow, Keras, PyTorch, Theano, FastAI
Frameworks and Platforms: Jupyter Notebooks, Google Colab, Kaggle Kernels

Data Analysis & Science

Statistical Analysis
Data Wrangling & Preprocessing
Data Visualization
Hypothesis Testing
Time Series Analysis
Feature Engineering & Selection

Data Engineering

Data Pipeline Construction: Designing, Implementing, and Maintaining Scalable Data Pipelines
ETL Processes
Database Design & Implementation: Relational Databases (SQL), NoSQL Databases (MongoDB, Cassandra)
Big Data Technologies: Hadoop Ecosystem (HDFS, MapReduce, Hive, Pig), Spark, Kafka
Data Warehousing Solutions: Amazon Redshift, Google BigQuery, Snowflake, Data Lake Solutions
Data Governance & Quality
Stream Processing: Real-Time Data Processing with Apache Kafka, Apache Flink, Amazon Kinesis
Data Integration: Combining Data from Different Sources, Ensuring Consistency
Cloud Data Solutions: AWS Data Services, Google Cloud Data Services, Azure Data Services
Data Modeling: Conceptual, Logical, and Physical Model Design, Star Schema, Snowflake Schema
Performance Tuning: Database Optimization, Query Optimization, Resource Management
Data Migration: Planning and Executing Data Migration Strategies, Data Replication
API Development for Data Access: RESTful APIs, GraphQL for Data Services
Business Intelligence Tools: Integration with BI Tools like Tableau, Power BI for Reporting and Visualization

Cloud Computing

AWS: EC2, S3, RDS, Lambda, Redshift, DynamoDB, EMR, Glue
Google Cloud: Compute Engine, BigQuery, Dataflow, Dataproc, Pub/Sub, TensorFlow AI
Microsoft Azure: VMs, Blob Storage, SQL Database, Functions, Cosmos DB, HDInsight
Containerization: Docker, Kubernetes
Infrastructure as Code: Terraform, AWS CloudFormation
DevOps Tools: Jenkins, GitLab CI, GitHub Actions
Monitoring and Logging: Amazon CloudWatch, Google Operations Suite (formerly Stackdriver), Azure Monitor

Projects

TalkVert

A virtual stage to present via audio, with visual support.

Distirbuted GAN

Using DCGAN model DISTIRBUTED training to generate new facial images

Data Mining for Work Productivity

Analyze individual work productivity using data mining and feature selection methods

Deep Learning- Comparing Distirbutions

Comparing Distirbutions using KL divergence, JS Divergence, and Kolmogorov Smirnov methods

Dimension reduction with Autoencoders

Exploring dimensionality reduction methods and classifier performance on diverse datasets

Neural Networks and Optimizations

Improving neural network classification performance with optimizers and regularizations techniques.

Neural Networks comparison

Comparing VGG-19, ResNet50V2, and Inceptionv4 for Image Classification & Evaluating Time Series Prediction with LSTM, GRU, BiDirectional RNN, and Deep RNN

Cryptocurrency Trend Predictor

Built using Facebook Prophet on GoogleColab.

Data Smart

Forecasting revenue for departmental stores using R

Data Engineering

Building a datawarehouse with ETL, PostgreSQL, Python, and NoSQL

Enhancing ML models with Data Augmentation

Using (kNN, SVM, Naïve Bayes, & decision trees) on diverse datasets: Iris, Hotel Reservations, & Wine with 10-fold cross-validation

Multimodal Gaussian Distribution Modeling

Using regression modeling & assessing different regression techniques (Ridge & Lasso) for accuracy & parameter comparisons

Lexical Analyser

Error recovery and tokenization using C.

Graphical simulation of an aircraft

Built with OpenGL, GLUT, and C++

Intrusion Detection System

Development of a network-based and host-based IDS.

I'm Uthappa, Akhil Uthappa

About Me

An Engineer

Skills

Projects

TalkVert

Distirbuted GAN

Data Mining for Work Productivity

Deep Learning- Comparing Distirbutions

Dimension reduction with Autoencoders

Neural Networks and Optimizations

Neural Networks comparison

Cryptocurrency Trend Predictor

Data Smart

Data Engineering

Enhancing ML models with Data Augmentation

Multimodal Gaussian Distribution Modeling

Lexical Analyser

Graphical simulation of an aircraft

Intrusion Detection System

Feel free to contact me

Let me know you were here

I'm Uthappa, Akhil Uthappa

About Me

An Engineer

Skills

Software Engineering

Programming Languages & Technologies

Methodologies

Machine Learning & Analytics

Cloud & Web Technologies

Databases

Other Technologies & Tools

Soft Skills

Machine Learning

Machine Learning

Data Analysis & Science

Data Engineering

Cloud Computing

Product Management & Design

Product Strategy & Roadmapping

Agile & Scrum Methodologies

Technical Product Management

User Experience & Design

Product Analytics & Performance

Stakeholder Management & Communication

Projects

TalkVert

Distirbuted GAN

Data Mining for Work Productivity

Deep Learning- Comparing Distirbutions

Dimension reduction with Autoencoders

Neural Networks and Optimizations

Neural Networks comparison

Cryptocurrency Trend Predictor

Data Smart

Data Engineering

Enhancing ML models with Data Augmentation

Multimodal Gaussian Distribution Modeling

Lexical Analyser

Graphical simulation of an aircraft

Intrusion Detection System

Feel free to contact me

Let me know you were here