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Hi, I am Harsha

Harsha Emani

MLOps Engineer

I am a Software Engineer with 5+ years of experience across a versatile set of technologies. I love automating boring tasks and creating innovative solutions to everyday problems. I completed a research-based master’s, where I built a net load demand forecasting tool for Barbados using ML and AI. I also published my thesis, which focuses on several factors that influenced my decision-making and how I arrived at building a robust tool for forecasting Barbados’s net load demand. I’m passionate about learning, upskilling, and solving interesting problems. When I’m not working, I like to tinker with some fun projects such as building my personal streaming service using Jellyfin, self-hosted adblocker service running in my homelab etc.

Communication
Presentation
Collaboration
Leadership
Team Work
Technical Writing

Projects

N8N Prompt Enhancer

An N8N workflow that turns Telegram voice messages into intelligent and enhanced text prompts using Gemini AI. Speak to your Telegram bot, and it will automatically transcribe your voice, process your input through Gemini, and send back a contextual text prompt with RICC (Role, Input, Context, Constraints) framework.

Forecaster Tool

A graphic tool built using ML and AI techniques as a part of my Master’s research project to help the grid operators in Barbados to better manage their RES and improve the accuracy of forecasting models.

Neural Network Implementation from Scratch

A simple neural network implementation from scratch

MNIST Image Classification

MNIST Image Classification using a simple neural network

Build Attack Surface and Attack Tree for Web Application

Build Attack Surface and Attack Tree for a Web Application to analyze the security of the software application

Irvine Gasoline Carbon Management App (SDC Hackathon)

Collaborated at SDC hackathon to build a website that compares emissions to offsets by sector and predicts future levels using past trends.

Machine Learning Starter Projects

Collection of starter ML projects completed during Udacity’s Machine Learning Nanodegree

Professional Experience

1
University of New Brunswick

May 2024 - August 2024

Fredericton, New Brunswick

Graduate Research Assistant

May 2024 - August 2024

Responsibilities:
  • Implemented a functional Deep Learning model for forecasting the load demand of a Renewable Energy resource and developed a website to assess the performance and analytics for every prediction interval, improving prediction accuracy for a leading energy company
  • Worked on design and implementation of a highly reliable and available microservices architecture to support similar forecasting tools built by the department

Mariner Innovations

May 2023 - December 2023

Fredericton, New Brunswick

Developer Analyst Intern

May 2023 - December 2023

Responsibilities:
  • Responsible for end to end SDLC and Fullstack web application including authentication / authorization, testing and deployment of an automated survey tool for assessing the industry readiness for companies
  • Leveraged the experience from working on the first tool to work on a government project with similar responsibilities for building a tool for safe and controlled communication between ships and ports within Canada
2

3
Broadridge Financial Solutions

June 2021 - January 2023

Hyderabad, India

Member Technical

June 2021 - January 2023

Responsibilities:
  • Handled End-to-End Fullstack development, deployed blockchain code, built and managed containers across different environments like Dev, QA, UAT and Production
  • Worked as a GitLab maintainer, responsible for version control and code maintenance, code reviews, merging changes and maintaining tags for the team
  • Collaborated effectively and assumed leadership for a medium-sized team, participated in daily scrum calls, addressed business needs, resolved support tickets and managed change processes for a Blockchain-based solution and contributed to winning the NASSCOM 2021 Innovation – Excellence award for the project

Tata Consultancy Services

May 2019 - June 2021

Hyderabad, India

System Engineer

May 2019 - June 2021

Responsibilities:
  • Monitored the performance and metrics, debugged issues, reported root cause analysis and took ownership of planned and unplanned outages for the backend of a highly available software application being used in over 100 countries with separate isolated environments in both on premise and cloud environments
4

Education

Master of Computer Science
Thesis:
Hybrid LSTM–RLS Day-Ahead Net Load Demand Forecasting for Barbados Distribution Feeders
Supervisor:
Dr. Julian Cardenas Barrera
Bachelor of Technology in Information Technology
Extracurricular Activities:
  • Participated in coding clubs and won prizes at tech fests
  • Organized workshops and hackathons to promote technology and innovation
  • Collaborated with peers on various software development projects
  • Won debates at inter-college competitions
Higher Secondary School Certificate

Skills

Accomplishments

Azure AI Fundamentals

Machine Learning Engineer Nanodegree

GTS Best Team Award

Microsoft Certified - Introduction to Python