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akshayatam/README.md

Hi πŸ‘‹, I'm Akshay Atam

AI Engineer β€’ Production ML β€’ Agentic AI

Building reliable ML systems, retrieval pipelines, and intelligent tools for real-world use.

Portfolio β€’ Email β€’ LinkedIn

Building intelligent systems with curiosity, rigor, and a healthy respect for rogue AI.

🧠 What I Do

I build end-to-end machine learning systems, from raw data to deployed intelligence.

  • Design scalable data pipelines (ERP / CRM β†’ ML-ready)
  • Build and deploy ML models in production environments
  • Develop agentic AI + RAG systems with real-world constraints
  • Focus on reliability, reproducibility, and performance

πŸ’Ό Experience

AI Engineer @ Perfect Solutions Group Inc

  • Built Python + SQL pipelines for enterprise datasets (↓ preprocessing time ~30%)
  • Automated training, evaluation, and deployment workflows (CI/CD)
  • Integrated forecasting + ML into production systems

Data Analyst @ Bright Mind Enrichment

  • Consolidated multi-source data from 50+ teams into unified pipelines
  • Improved data quality for analytics and reporting

πŸš€ Projects

πŸ”Ή Spotify Insights Lab

Full-stack ML system on 1.2M+ tracks

  • XGBoost promotion prediction
  • PostgreSQL optimization (~150Γ— faster queries)
  • Streamlit dashboard

πŸ‘‰ https://github.com/akshayatam/spotify-insights-lab


πŸ”Ή Vintage Keyboard RAG (Agentic AI)

  • Built RAG pipeline over domain-specific knowledge
  • FAISS + FastAPI + local LLMs
  • Exploring agent-based retrieval workflows

πŸ”Ή Helmet Detection (YOLOv5)

  • Trained custom model on 5K images
  • Evaluated using FiftyOne for debugging + insights

πŸ› οΈ Core Capabilities

What I focus on in practice:

  • Machine Learning Systems: Training, evaluation, deployment
  • Generative AI / RAG: Retrieval pipelines, embeddings, agent workflows
  • Data Engineering: ETL pipelines, large-scale preprocessing
  • MLOps: CI/CD, reproducibility, model monitoring
  • Backend for ML: FastAPI, model serving

βš™οΈ Tech I Use


πŸ§ͺ Currently Exploring

  • Rust for systems-level thinking in ML workflows
  • Agentic AI architectures (LangGraph-style systems)
  • Quant + finance-driven ML systems

🌱 Open Source

Contributing features, bug fixes, security improvements, and tooling across Rust, Python, Kotlin, and open-source developer ecosystems.

feat(cli): add rm model command Β· PR #60

Rust Open

Implemented basert rm <model> for safely removing locally installed models, including end-to-end tests, symlink protection, custom cache handling, and documentation.


fix: update youtubedl-android for QuickJS support Β· PR #2659

Kotlin Android Open

Updated the yt-dlp Android dependency to restore YouTube downloads by enabling the JavaScript runtime required by current yt-dlp versions.


Add Notepad++ icon Β· PR #57

Merged

Added matching PNG and ICO Notepad++ folder icons to the Windows 11 icon collection.


fix(core): prevent symlink path escape in prompt loaders Β· PR #36860

Python Closed

Implemented resolved-path validation and regression tests for symlink-based path escapes. Closed because an equivalent fix was already being contributed.


Ducky One2 Mini ANSI Tsangan Layout Β· PR #24909

C QMK Merged

Added ANSI Tsangan layout support for the Ducky One2 Mini, including a new keymap and updated keyboard layout configuration.


🌐 Connect With Me

LinkedIn β€’ Medium β€’ Twitter


Always remember β€” she's watching.
"We do what we must because we can." β€” GLaDOS

Pinned Loading

  1. idid idid Public

    A tiny Rust CLI that logs software installes and removals on Linux

    Rust

  2. vintage-wiki-rag vintage-wiki-rag Public

    Python

  3. spotify-insights-lab spotify-insights-lab Public

    A modular music intelligence lab using SQL tuning, ML clustering, and Streamlit dashboards over 1.2M+ Spotify tracks.

    Jupyter Notebook

  4. spotify-sql-analytics-optimization spotify-sql-analytics-optimization Public

    Advanced SQL analytics and query performance optimization using the Spotify Kaggle dataset - includes EDA, window functions, CTEs, TEMP tables, and benchmarked performance improvements (55% faster …