Yagna Hari Muni

I'm

About

Harnessing a rich foundation forged through three vibrant years as a Senior Software Engineer, my career has been a diverse tapestry of roles ranging from R&D project leadership to software development and DevOps expertise. This journey has been characterized by a trail of successes, each a testimony to my adaptive skill set and forward-thinking approach.

As I delve deeper into the realm of Computer Science through my ongoing graduate studies, my objective remains clear: to seamlessly blend cutting-edge academic learnings with my robust industry background, crafting solutions that are as innovative as they are effective.

I liken my approach to that of a GPU — tirelessly processing, constantly evolving, and yet, not burdened by redundant data, always eager to embrace the next learning curve with a fresh perspective. My toolbox is stocked with a wide array of capabilities, from conceptualization to execution and from management to knowledge sharing, all grounded in rigorous research and a genuine passion for technology.

Open to opportunities that champion growth and innovation, I am on the lookout to connect with professionals and organizations where a fusion of experience and education is the key to pushing technological boundaries.

  • Birthday: 1 August 1998
  • Phone: +1 (617) 651-6613
  • City: Boston, USA
  • Degree: MS Computer Science
  • Email: YagnaHar.Muni001@umb.edu
  • VISA Sponsorship Required: Yes

Inspired by my leader and role model, Richard Ginsberg, Head of Engineering, Guidepoint, who advocates, 'I will do and let my team follow it'

Facts

Happy Clients

Projects

Hours Of Experience

Awards

Internships

Skills

My expertise encompasses the skills I have acquired both during my academic coursework and through my professional experience

LANGUAGES

Python 80%
Java 90%
Kotlin 75%
React 70%
YAML 100%
SQL 100%

ARTIFICIAL INTELLIGENCE

Sentence Transformers 100%
Similairty Algorithms (KNN, Cosine, Dot product ..) 90%
Recommedation Systems 90%
Vector Databases (Elasticsearch, PineCone, Chroma etc..) 100%
Embedding Models (bge, gte, instructor-xl, ada002 etc..) 100%
Natural Language Processing 90%

DEVOPS

Azure DevOps 100%
Microsoft Azure80%
Docker 100%
Kubernetes 90%
Ansible 70%
Terraform 70%
Jenkins 90%
Helm 60%

OTHER TOOLS

Elasticsearch, kibana, logz.io, filebeat 100%
Git (Bitbucket, Az Repos, Github etc..)100%
Ai/ml libraries (CUDA, Tensorflow, keras etc..)100%
Visual Studio 100%

.. I've constructed a organizer, with each shelf housing an array of n-dimensional tech stacks. There are still empty shelves, ready to be filled with even more learning and innovation.

Resume

Sumary

Yagna Hari Muni

I bring over 3 years of expertise to the table, with a strong focus on AI. My standout project involved harnessing sentence embeddings from state-of-the-art transformers to create a powerful recommendation system using KNN similarity. Additionally, I excel in DevOps, specializing in pipeline development and management. AI is my passion, and DevOps is my strength.

Education

Masters in Computer Science

2022 - Present
Grade 4.0/4.0

University of Massachusetts, Boston, MA

Leveraging comprehensive coursework in software development, AI, and database management, I’ve cultivated a strong foundation in object-oriented programming, using Java to build moderate to large-scale projects. With a focus on real-world applications, I’ve worked in collaborative settings to employ systematic UML-based methodologies and incremental development.

Further, I’ve gained hands-on experience in crafting AI projects, focusing on similarity search, and developing advanced computer vision algorithms. Building on a profound understanding of theoretical principles, I’ve designed programs handling dynamic vision, object recognition, and depth perception, equipped to tackle real-world challenges.

Eager to bring a blend of academic rigor and practical know-how to innovative teams.

Bachelor of Electrical and Electronics Engineering

2015 - 2019

Jawaharlal Nehru Technlogicial University, Kakinada, AP, India

My electrical engineering studies sharpened my analytical thinking and logical circuit design skills, providing a strong basis for my transition into software. Moreover, I gained proficiency in programming languages, facilitating a seamless shift into software development.

Projects

Loan Eligibility AI Predictor: Exploratory Data Analysis and Neural Network Optimization

University of Massachusetts, Boston, MA

Conducted exploratory data analysis on a Loan Eligibility Prediction dataset using Pearson, Spearman, and Kendall correlation techniques and heatmap visualization for outlier treatment. Created a neural network model with specified neurons and activation functions, optimizing with defined loss functions and epochs. Model training exhibited promising accuracy trends, pinpointing optimal epoch range for best performance.

Deep Learning-Based Image Recognition with Hough Transform and ONNX Integration

University of Massachusetts, Boston, MA

Developed a computer vision project employing Hough Transform for circle detection and utilized a dense neural network for MNIST classification, achieving 96% accuracy with a ReLU-activated 5-layer model. Leveraged interference in CIFAR dataset image identification, enhancing a pre-trained ONNX model to classify and predict image classes with high precision.

CIFAR-Based Animal Classification System Using Neural Networks

University of Massachusetts, Boston, MA

I've engineered an advanced neural network system utilizing the CIFAR dataset for animal classification. This project harnesses the power of computer vision to accurately identify animals in real-time, making it a valuable tool for tasks like monitoring and gate control in zoo environments

Kotlin-Based Android Grid Treasure Hunt Game

University of Massachusetts, Boston, MA

This Kotlin-powered mobile app introduces users to a dynamic treasure hunt game on Android. Utilizing a grid interface, players explore tiles to find treasures while the app maintains high score records through Android DataStore. Kotlin coroutines ensure smooth gameplay and UI transitions, promising an engaging user experience.

GeoWeather Explorer

University of Massachusetts, Boston, MA

Developed a Kotlin-based mobile application leveraging Google Maps API to provide real-time weather updates and geolocation visuals for any queried location

Professional Experience

Artificial Intelligence Intern

June 2023 - Aug 2023

Guidepoint, New York, NY

  • Single-handedly steered a Python project from ideation to fruition, resolving significant issues. Meticulously selected the best AI model for text embeddings comparing performance metrics and chose Elasticsearch for vector database management. Leveraging GPU, TensorFlow and CUDA libraries, optimized the code for peak performance, crafted an efficient chunk processing system, and developed a webpage using Flask to enhance user interaction, exemplifying my adeptness as an AI professional.
  • Led the creation and management of DevOps YAML pipelines; resolved deployment issues and rectified failed production deployments, ensuring seamless operations

Senior Software Engineer

May 2020 - Aug 2022

ValueLabs LLC, New York, NY

Guidepoint
  • Led the transition of projects to Azure, enhancing deployment efficiency by 90%. I created, maintained, and governed client pipelines using Azure DevOps, Terraform, and Ansible, ensuring seamless operation of .NET Core, Angular, React projects, Node, PHP and more, bringing in cutting-edge solutions for clients.
  • Spearheaded build & release management on all platforms, utilizing Ansible for DMZ server deployments. I ensured all project builds were machine-independent, leveraging Azure container jobs, thereby enhancing efficiency and reusability.
  • Boosted software quality using SonarQube, Cobertura, and Jenkins for critical code analysis and regression testing. Maintained comprehensive documentation to aid in easy troubleshooting and to facilitate collaboration during production glitches.

AvidXchange
  • Steered the inception and oversight of sophisticated IaC pipelines via Azure DevOps YAML and Terraform, orchestrating the automated deployment and fine-tuning of over 150 database instances utilizing Ansible scripts. I was instrumental, diving deep into Terraform and Ansible scripting to architect high-efficiency pipelines, meeting stringent client requisites.
LoneOak Fund
  • Executed an all-encompassing migration to a new Azure environment, handling tasks from updating SSL certificates to creating databases and orchestrating YAML pipelines. Ensured a smooth transition through careful backup and restoration of apps, showcasing adept control over the complex transition process.

Software Engineer

May 2019 - Aug 2020
TelStrat
  • Led the Kazoo service transformation through Docker and Kubernetes, orchestrating deployments over user-defined networks, enhancing artifact extraction, and optimizing load balancing, showcasing mastery in large-scale application management.
  • Spearheaded the customization of Kazoo Media Resource Controller (MRC) from source to meet client specifications, enhancing VoIP functionalities through FreeSWITCH, Kamailio, and RabbitMQ integrations. Innovated by modifying FreeSWITCH to introduce interactive voice models. Incorporated Erlang Debuggers for strategic application debugging, paving the way for a refined, client-centric solution in VoIP technology.
  • Elevated Kazoo’s capabilities, developing a Chatbot integrated with Google Dialogflow for streamlined POC appointments, and introduced advanced log management through the ELK stack, demonstrating a keen aptitude for enhancing application infrastructure.

Software Engineer Intern

Jan 2019 - March 2019

ValueLabs, Hyderabad, India

  • Contributed to building a web portal to streamline call recording access and management using ASP.NET, C#, and SQL with Entity Framework, enhancing operational efficiency.

Portfolio

  • All
  • Languages
  • AI
  • Image Processing
  • DevOps
  • Android

Vector databases

Explored vector databases for storing data in vectorized form, such as Chroma, Elasticsearch, Pinecone, Milvus, and more.

Elasticsearch

Utilized Elasticsearch as a vector database for retrieving similar records through K-nearest neighbors (KNN) queries.

HNSW

Implemented the HNSW algorithm for text vectorization and querying similar datasets.

Embedding Model

Evaluated various embedding models, including GTE, BGE, ADA002, and Instructor-XL, to produce embeddings with varying dimensionalities.

Sentiment Analysis using Naive Bayes

Unsupervised Learning

Exploratory Data Analysis

3D Object detector study for Autonomous driving

Multi-Layer Dense Networks for CIFAR-10 Classification

CIFAR-10 Classification with TensorFlow and ONNX

Azure Devops

Expertly orchestrated Azure DevOps pipelines, streamlined project transitions, and optimized deployments, showcasing advanced proficiency in Azure DevOps

Microsoft Azure

Proficiently provisioned and configured Microsoft Azure infrastructure, including setting up Virtual Networks (VNets), SSL certificates, and Service Principals, demonstrating expertise in Azure infrastructure management

Docker

Proficiently managed Docker containers, orchestrated deployments over user-defined networks, and optimized load balancing, demonstrating expertise in large-scale containerization.

Kubernetes

Effectively managed Kubernetes deployments, optimized load balancing, and integrated container orchestration, demonstrating strong Kubernetes expertise

Terraform

Utilized Terraform to automate infrastructure provisioning and streamline deployment processes

Ansible

Strategically employed Ansible for automated configuration management and precise deployment, including secure DMZ server setups, optimizing infrastructure management.

Edge Detection - Hough Transform

Grayscale Image Resizing with Nearest Neighbor and Bilinear Interpolation

Noise Removal using expand-shrink

Floyd-Steinberg Image Dithering

Python

Java

YAML

SQL

Bash/Shell

PowerShell

React

Kotlin

Kotlin based Treasure Hunt Game

Android Weather App

Testimonials

Arjun D. Rao

CEO, ValueLabs

Congratulations on a job well done with GPG Pilot project. Reducing deployment time is a fantastic achievement. Am proud of how you have focused on learning and up skilling in order to add value to our clients and colleagues. Keep up the good work! Look forward to seeing you grow to greater heights and achieving bigger milestones!

July 7, 2020

Contact

Location:

66 Beach Point Place, APT 710, Dorchester, Massachusetts 02125

Call:

+1 (617) 651-6613