๐Ÿ‘‹ Hi, I'm Tanmay Bhuskute, a passionate Software Developer and AI/ML Engineer currently pursuing my Master's in Computer Science at University of Cincinnati. With a strong foundation in computer science fundamentals and hands-on experience in AI, distributed systems, and cloud-native development, I focus on building scalable engineering solutions and intelligent applications.

I enjoy tackling complex engineering problems, whether it is optimizing pipelines to handle millions of users, deploying Kubernetes-based systems on the cloud, or designing retrieval-augmented AI systems for real-world use cases.

When I am not deep into code, you will probably find me brainstorming the next big idea, learning new frameworks, or mentoring peers in their tech journey.

What Drives Me

  • software development icon

    Software Development

    Building scalable and reliable applications using modern frameworks and cloud-native technologies.

  • web mobile development icon

    Web & Mobile Development

    Designing and developing high-performance web and mobile apps with React, Node.js, and cloud backends for iOS and Android.

  • AI ML icon

    AI & Machine Learning

    Designing intelligent systems powered by LLMs, retrieval-augmented generation, and predictive analytics.

  • cloud devops icon

    Cloud & DevOps

    Deploying and managing applications using Kubernetes, Docker, and AWS/GCP for reliability and scale.

  • badminton icon

    Badminton

    Staying active and competitive through badminton matches that fuel focus and discipline.

  • vibe coding icon

    Vibe Coding

    Coding sessions with music and flow, blending creativity with problem-solving.

  • FIFA icon

    FIFA

    Sharpening strategy and reflexes through intense FIFA matches for fun and focus.

Education

  1. University of Cincinnati - MSc in Computer Science

    2024 โ€” 2026

    Coursework:

    Advanced Algorithms Artificial Intelligence Deep Learning Intelligent Data Analysis Database Theory Distributed Operating System
  2. University of Pune - BEng in Computer Engineering

    2018 โ€” 2022

    Coursework:

    Data Mining Data Analytics Machine Learning Object-Oriented Programming

Experience

  1. Software Developer Engineer - Siemens Industry Software

    Jul 2022 โ€” Jun 2024

    Tech Stack:

    AWS Python Boto3 REST APIs Hashicorp Vault Ansible GitLab CI/CD Shell Kubernetes ArgoCD
    • Automated TCX cloud infrastructure patching and deployment across 44+ production AWS environments using Python, Boto3, Ansible Tower, and GitLab CI/CD pipelines, integrating Siemens DSS Vault APIs for secure artifact management and creating reusable packages deployed via JFrog repository.
    • Architected and implemented Blue-Green deployment strategy for zero-downtime TCX upgrades, achieving 50% downtime reduction through automated Ansible workflows while resolving critical challenges including RDS reconfiguration, SOLR index optimization, and Siemens Deploy Center integration across TCX versions 7.x through 9.x.
    • Led containerization migration initiative from process-based to containerized TCX architecture using Kubernetes, ArgoCD, Helm Charts, and HashiCorp Vault, improving scalability and operational efficiency while gaining deep expertise in container orchestration, EFS configurations, and cloud-native infrastructure patterns.
    • Mentored cross-functional team of 5 engineers while coordinating with Operations and Development teams to debug production issues, develop comprehensive training materials, standardize development processes, and document technical workflows in Polarionโ€”reducing onboarding time and ensuring successful production deployments.
    • Demonstrated full-stack DevOps expertise spanning Python/Ruby automation, AWS services (EC2, RDS, EFS), infrastructure-as-code (Ansible), container orchestration (Kubernetes), and Linux administration on RedHat systems, while working in Agile sprints and delivering end-to-end solutions from development through production deployment.
  2. Software Developer Intern - Siemens Industry Software

    Mar 2022 - Jun 2022

    Tech Stack:

    AWS Terraform Ansible Terratest Go
    • Automated provisioning of AWS resources with Terraform, reducing deployment time by 30%
    • Developed Go + Terratest framework, catching 95% of misconfigurations pre-production
    • Optimized DevOps workflows with Ansible, reducing environment setup time from hours to minutes
    • Enhanced infrastructure validation with Terragrunt ensuring 100% successful Terraform runs
  3. Software Developer Intern - Government of Maharashtra, Water Resource Department

    Sep 2021 โ€” Dec 2021

    Tech Stack:

    React.js MySQL Full-Stack Development UI/UX Design Process Automation
    • Developed a full-stack inward/outward register app with React and MySQL
    • Digitized record management, improving efficiency by 40%
    • Deployed system improving transparency and accuracy of records
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Programming Languages

Java Python C/C++ SQL (Postgres) JavaScript HTML/CSS Go Rust
โšก

Frameworks

React Node.js JUnit FastAPI Streamlit Django Flask BERT
๐Ÿ› ๏ธ

Developer Tools

VS Code Git Docker AWS Azure Google Cloud Platform SonarQube Postman JFrog Polarion Jenkins ArgoCD Kubernetes REST APIs Linux Unix Bash TensorFlow
๐Ÿ“š

Libraries

PyTorch scikit-learn pandas NumPy matplotlib HuggingFace OpenAI LangChain Pydantic spaCy
  • Spendora - Conversational AI for Expense Insights

    Jun 2025
    HuggingFace LangChain Mistral Gemma
    • Developed LLM-powered finance assistant with LangChain
    • Implemented RAG with custom toolchains for financial data
    • Deployed conversational agents with memory and tool use for spending analysis
  • News Headline Classification

    Mar 2025
    Python PyTorch spaCy
    News Headline Classifier - Interface News Headline Classifier - Model Performance News Headline Classifier - Results News Headline Classifier - Analysis
    • Built LSTM-based deep learning model on 400K+ headlines
    • Achieved 93.28% accuracy outperforming baseline models
    • Optimized preprocessing and training pipeline improving efficiency by 25%
  • Media Recommender

    Mar 2022
    React Flask Python Spotify API
    • Developed personalized recommendation system for media
    • Implemented multiple algorithms: content-based, collaborative, K-means, TF-IDF
    • Delivered relevant recommendations across movies, music, and books
  • SoundScape: Android Music App

    Dec 2021
    Android SDK Java REST APIs MediaPlayer Gradle Git
    • Developed end-to-end Android music streaming app
    • Integrated Musixmatch API with Room caching, reducing API calls by 70%
    • Implemented microservices for playback, notifications, and file operations
  • Bangalore Housing Price Prediction

    Jun 2020
    Streamlit scikit-learn Plotly Pandas NumPy
    Bangalore Housing Price Prediction - Interface Bangalore Housing Price Prediction - Analytics Bangalore Housing Price Prediction - Results
    • Built ML application predicting Bangalore real estate prices with 85.8% accuracy across 237+ locations, serving instant predictions via web interface
    • Applied statistical outlier detection and feature engineering, filtering 47% of noisy data to improve model reliability
    • Created interactive Plotly dashboard with 3 analytical views for exploring 13,000+ property records and market trends

Exploring the world, one city at a time. I love discovering new places, hidden gems, and local favorites wherever I go. Each destination tells a unique story, and I've curated Google Maps collections to share my adventures.

Click on any destination below to explore my personalized collection of recommendations, must-visit spots, and memorable experiences from each city.

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