My Portfolio

Linkedin GitHub Email

Skills

A collection of my key technical skills and areas of expertise.

December, 2024

• Python

Supervised learning, Unsupervised learning, Deep learning, Automation, Computer Vision

• Mathematics for AI

Calculus, Probability

• R programming

Bayesian Modeling, Data Visualization, Data Analysis

• DevOps & Tools

Git, Docker, AWS, CI/CD, Jenkins

• Java

Spring boot, Kafka

• JavaScript

React, Node.js, Express

• SQL

MySQL, PostgreSQL

• NoSQL

MongoDB

• LLMs

Langchain, Claude, Llama, ChatGPT

• Virtual machines

AWS, Azure, Google Cloud

• Serverless Computing

AWS Lambda

• Cloud Storage

AWS S3, Google Cloud Storage

• Caching

Redis

• Big Data & Analytics

Apache Spark, Matplotlib, Seaborn, Plotly, PowerBI, Tableau

Experience

A collection of my professional experiences.

December, 2024

Aarna Analytics LLC

[Mckinney, TX, USA] [June 2019 - March 2023] Technology Manager

Designed and developed "Profitis.in", a Deep Learning trade recommender that specializes in trading signals for BSE, NSE and other asset markets.
Administered and recruited all technical members of the organization.
Assisted in developing sophisticated trading algorithms utilizing deep learning models such as LSTM and CNN to analyze technical and fundamental market indicators.
Developed a market sentiment analyzer by applying Natural Language Processing (NLP) techniques to predict stock price movements based on market news and social media trends.
Oversaw the maintenance and upgrades of critical AI and ML infrastructure, ensuring optimal performance of trading models.
Collaborated with management to integrate predictive models into marketing strategies, enhancing product offerings and customer engagement.
Built internal tools to keep track of customer churn for the product which in-turn helped us cut costs in overheads for marketing and strategic planning.
Architected and managed the entire tech infrastructure, ensuring seamless integration and scalability for deploying advanced predictive models, while also implementing continuous integration and deployment pipelines that accelerated product development and increased shipment speed by 55%.
Proposed new methods such as implementing Grafana for server monitoring and utilizing in-house LLM based automation tools for social media marketing, which enhanced the relevance of updates and overall production support. These initiatives contributed to a 24% increase in revenue per employee, from $12,000 to $16,560.

Balnc Care

[Thiruvananthapuram, India] [September 2018 – November 2018] Software Intern +

Contributed to the development of deep learning models for object detection and classification in sports, improving the capabilities for real-time analytics.
Implemented Convolutional Neural Networks (CNNs) for accurate classification of sports events and activities.
Conducted extensive data preprocessing, including image augmentation, normalization, and annotation, to prepare datasets for model training.
Utilized cross-validation and hyperparameter tuning to optimize model accuracy and robustness.
Collaborated with a multidisciplinary team, contributing to the successful delivery of projects within tight deadlines.
Applied performance optimization techniques, such as model pruning and quantization, to improve inference speed and efficiency.

Carestack

[Melbourne, VIC, Australia] [October 2023 – Present] Independent Contractor (part-time)

Building test cases for the newly developed insurance module in compliance with Australian standards.
Executing test cases and debugging insurance module.
Working hand in hand with HICAPS team of NAB to ensure the compliance for insurance claims.
Designing new workflows to help streamline the insurance process in Australian Healthcare system.

iNet Allocations

[Melbourne, VIC, Australia] Software Developer (part-time)

Built a mobile application for Chris Barnard Nursing Agency to manage their aged care nurses' allocations.
Designed and implemented requirements set by the business team.
Developed the application using React Native and issued builds for both iOS and Android.
Created test cases and implemented automated testing using JEST.
Collaborated with the business team to pitch new ideas and worked towards enhancing the product's efficiency.
Conceptualized and designed features for the application that increased business traction.

Oracle

[Thiruvananthapuram, India] [June 2018 – May 2019] QA Specialist

Worked with the Public Sector Cloud TechStack Team on Automation Testing of web-based applications of Public Sector Cloud using Selenium and OATS (Oracle Automations Testing Suite).
Worked on Automation Testing of the same on mobile and tablet-based applications using Appium.
Created tools for analysis of test data and applications using Natural Language Processing (NLP) and other Machine Learning algorithms.

Good Methods Global Inc (Carestack)

[Thiruvananthapuram, India] [January 2018 – March 2018] Software Intern

Worked on migrating client data from existing practice management system to CARESTACK application, handled scripting tasks for debugging and automation and created tools for data transformation and integration.

Projects

My personal projects

December, 2024

Education

A collection of my academic experiences.

December, 2024

M.S Data Science

[2023 - 2024] Deakin University

C.S.E

[2013 - 2017] University College of Engineering

Pink Dream

When you say Pasha, I get excited. But wait for winter, it will blow your mind!

December, 2024