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Hey, I'm Anmol 👋

Machine Learning Engineer · Data Scientist · Software Engineer

LinkedIn GitHub Portfolio


🧠 Executive Summary

Results-driven Machine Learning Engineer and Software Developer with a strong foundation in Computer Science, Data Science, and Mobile Architecture. Experienced in designing predictive machine learning systems, statistical modeling pipelines, and high-performance cross-platform software.

  • 🎓 Premier Certifications & Credentials:
    • Vishlesan I-Hub, IIT Patna — Advanced Certification & Technical Training
    • NASSCOM Certified — Data Science & Agentic AI (Autonomous AI Agents, LLM Orchestration & Intelligent Workflows)
    • AlmaBetter Certified — Full-Stack Data Science & Machine Learning
  • 🤖 AI & Data Science Competencies: Agentic AI Architectures, Multi-Agent Systems, Statistical Inference, Exploratory Data Analysis (EDA), Feature Engineering, Supervised/Unsupervised Modeling, and Deep Learning.
  • 📱 Systems & App Engineering: End-to-end cross-platform architecture with Flutter/Dart, native audio extraction pipelines, and RESTful API integration.
  • 🎧 Flagship Project: Creator of SpectraFlow — an open-source, lossless audio archiver and Hi-Fi player.

🎓 Academic & Technical Domain Knowledge

┌──────────────────────────────┬──────────────────────────────┬──────────────────────────────┐
│  AI, Agents & Data Science   │  Computer Science & Systems  │  Software & App Development  │
├──────────────────────────────┼──────────────────────────────┼──────────────────────────────┤
│ • Agentic AI & Autonomous LLMs│ • Data Structures & Algo     │ • Cross-Platform (Flutter)   │
│ • Regression & Classification│ • Object-Oriented Design     │ • Asynchronous Dart / Python │
│ • Random Forest & XGBoost    │ • Database Systems (SQL)     │ • Audio Signal Pipeline (DSP)│
│ • Deep Neural Networks (ANN) │ • Operating Systems Concepts │ • REST API Integration       │
│ • NLP & Statistical Modeling │ • Git Version Control / CI   │ • State Management & Clean UI│
└──────────────────────────────┴──────────────────────────────┴──────────────────────────────┘

🚀 Featured Engineering Projects

Production-Grade Offline Music Archiver & Hi-Fi FLAC Player

  • Engineered an offline-first architecture for multi-format audio extraction (FLAC, OPUS, MP3, M4A).
  • Integrated synchronized real-time LRCLIB karaoke lyrics engine with millisecond timestamp mapping.
  • Designed Material 3 glassmorphic UI with dynamic color extraction and background audio playback sessions.
  • Fully open-source under GPL-3.0 with zero trackers and zero telemetry.

Flutter Dart Python FFmpeg just_audio Audio DSP

📊 Applied Machine Learning & Analytics Portfolio

End-to-End Predictive Modeling (AlmaBetter)

  • Exploratory Data Analysis: Conducted structured multivariate analysis on industry-grade datasets; engineered missing data imputations and skewness corrections.
  • Predictive Pipelines: Built robust classification and regression models evaluating accuracy via RMSE, R², AUC-ROC, and F1-scores.
  • Ensemble Techniques: Implemented Gradient Boosting, Random Forests, and hyperparameter tuning with GridSearchCV.
  • Deep Learning Architectures: Designed foundational neural networks for sequence modeling and classification using TensorFlow/Keras.

Python Scikit-learn TensorFlow Pandas NumPy Seaborn


🛠️ Technical Skill Matrix

Domain Technologies & Frameworks
Core Languages Python (3.x), Dart, SQL, Bash / PowerShell, C / C++ (Basics)
Machine Learning & AI Scikit-learn, TensorFlow, XGBoost, LightGBM, Keras, Pandas, NumPy
Data Visualization & Analytics Matplotlib, Seaborn, Plotly, Jupyter Notebooks, Google Colab
Mobile & App Development Flutter SDK, Material 3, just_audio, audio_service, REST APIs
Developer Tools & DevOps Git, GitHub CLI, FFmpeg, Linux / Termux, VS Code

📈 Contribution & Engineering Velocity

GitHub Stats GitHub Streak

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"Engineering intelligent data models & high-performance software."

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