CV

Data & BI Engineer background, AI/ML engineering work, and full career history.

Contact Information

Name Muhammad Awais
Professional Title AI/ML Engineer
Email muhammadawais.de@gmail.com
Location Ilmenau, Thuringia

Professional Summary

AI/ML Engineer building LLM and deep learning systems end to end — retrieval and agent architectures, neural audio models, and the evaluation infrastructure that measures whether either actually works. Three years of prior production data engineering (Razor Group Berlin, Teradata, NETSOL).

Experience

  • 2023 - 2024

    Berlin, Germany

    Data Engineer
    Razor Group GmbH
    E-commerce operations and marketplace analytics for Amazon seller aggregation.
  • 2023 - 2023

    Islamabad, Pakistan

    Data Engineer
    Teradata
    Data engineering in the telecom domain.
  • 2020 - 2022

    Islamabad, Pakistan

    BI Engineer
    NETSOL Technologies
    Enterprise data warehousing in the leasing and finance domain.

Education

  • 2024 - Present

    Ilmenau, Germany

    M.Sc.
    Technische Universität Ilmenau
    Media Engineering
    • Faculty of Electrical Engineering and Information Technology
    • Thesis: neural audio codec research, supervised by Prof. Gerald Schuller (TU Ilmenau), co-supervised by Andreas Brendel (Fraunhofer IIS, Erlangen)
  • 2016 - 2020

    Faisalabad, Pakistan

    B.Sc.
    National Textile University
    Software Engineering
    • Grade: 1.9 (German grading scale)

Skills

LLM & Retrieval (Intermediate): LangChain, AutoGen, Qdrant, RAGAS, LangSmith, FastAPI, Streamlit, hybrid BM25 + dense retrieval
Deep Learning (Intermediate): PyTorch, torchaudio, causal transformers, RVQ, autoregressive models, librosa, PESQ, STOI
ML Engineering (Intermediate): Docker, GitHub Actions, pytest, CI/CD, AWS, Azure, model evaluation & tracing
Data Engineering (Advanced): Python, SQL, dbt, Spark, Airflow, Snowflake, Teradata, Power BI, MATLAB

Languages

English : C2 (Proficient)
German : B2 (Upper Intermediate)
Urdu : Native
Punjabi : Native

Certificates

  • Microsoft DP-900 (Azure Data Fundamentals) - Microsoft
  • Teradata Vantage - Teradata

Projects

  • LogiMind

    Multi-agent RAG over public logistics operational documentation. Fixed-orchestration agent pipeline (planner, retriever, responder) with hybrid BM25 and dense retrieval, Qdrant, FastAPI, Streamlit. 0.98 faithfulness, ~9.4s median latency, $0.028 per query. 108 tests, Dockerized, CI on every push, deployed live.

    • AutoGen, LangChain, RAGAS, LangSmith, Qdrant, FastAPI, Streamlit, AWS
  • Neural Audio Codec (audio_cod)

    Low-latency neural speech codec research for my M.Sc. thesis. Causal transformer encoder/decoder with residual vector quantisation, targeting 8-16 kbps for real-time speech. Eight-phase controlled curriculum; quality plateaued at 3 bits per codebook.

    • Python, PyTorch, torchaudio
  • edc_pred

    Predicting energy decay curves from room geometry. 103M-parameter model reaching R² = 0.9995 on T20 and C50 prediction, trained on measured spatial room impulse responses.

    • Python, PyTorch
  • SRIR-Analysis

    Comparative study of PCA, LDA, and EFA for room acoustics classification. Parameter sensitivity analysis across octave bands on the Stolz et al. (2024) SRIR dataset.

    • MATLAB
  • Job Application Tracker

    Self-built application tracker with AI-powered intake. React front end, Supabase backend, Claude API for parsing job postings.

    • React, Supabase, Claude API