Summary
Overview
Work History
Education
Skills
Accomplishments
Languages
Awards
Timeline
Generic

Syed Juned Ali

Wien

Summary

Experienced Machine Learning Engineer and researcher with 5+ years of hands-on experience in developing and deploying machine learning solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Graph Neural Networks (GNN). Proven track record of publishing in premier international conferences (CAISE, ER, MODELS) and leading funded industry collaboration projects. Highly motivated to innovate, solve challenging problems, and deliver scalable AI solutions.

Overview

7
7
years of professional experience

Work History

University Assistant, Business Systems Engineering

TU Wien
07.2021 - Current
  • Developed LLM-cum-GNN-based framework for self supervised graph data training and finetuning. (GitHub).
  • Implemented RAG-based NLP pipelines for code traceability, thereby boosting traceability state-of-the-art performance. (GitHub).
  • Authored 5+ peer-reviewed papers presented at international conferences.

AI Solutions Engineer

Dirigenta GmbH
03.2023 - 12.2023
  • Architected and deployed an LLM-driven cloud migration tool with GraphRAG, reducing consultancy effort.

Software Developer, Identity Management & Services

Apple Inc.
01.2019 - 01.2021
  • Engineered identity workflows handling millions of authentications.
  • Integrated analytics for anomaly detection, enhancing security and user trust.

Education

Ph.D. - Computer Science and Business Informatics

TU Wien
08.2025

M.S. - Computer Science & Engineering

IIIT Hyderabad
01.2020

B.Tech - Computer Science & Engineering

IIIT Hyderabad
01.2018

Skills

  • Machine Learning: PyTorch, HuggingFace, GraphRAG
  • Agentic Framework: LangChain, Llamalnex, CrewAI
  • Generative Models: AutoTrain, Transformer-based custom fine-tuning and deployment
  • Data Engineering: MySQL, PostgreSQL, Neo4j
  • Programming: Python, C, Java
  • Tools: NumPy, Pandas, Matplotlib, Scikit-learn
  • MLOps: Docker, AWS
  • Problem-solving
  • Strong organization
  • Report preparation
  • Attention to detail
  • Analytical thinking

Accomplishments

  • Demonstrated Expertise in Generative AI: Developed and deployed LLM and RAG-based solutions, including a cloud migration consultancy tool thereby reducing client’s time.
  • Applied Research Impact: 5+ publications at top venues (CAISE, ER, MODELS) on conceptual modeling and representation learning.
  • Industry Collaboration Success: Secured full FFG (The Austrian Research Promotion Agency) funding for two applied AI projects, showcasing business value and real-world impact.
  • Startup Leadership: Co-founded AI-driven B2B sales augmentation startup using agentic workflows and graph-based stakeholder profiling.

Languages

English
Bilingual or Proficient (C2)
German
Intermediate (B1)

Awards

Best Student Paper Award, EDOC 2023

Timeline

AI Solutions Engineer

Dirigenta GmbH
03.2023 - 12.2023

University Assistant, Business Systems Engineering

TU Wien
07.2021 - Current

Software Developer, Identity Management & Services

Apple Inc.
01.2019 - 01.2021

M.S. - Computer Science & Engineering

IIIT Hyderabad

B.Tech - Computer Science & Engineering

IIIT Hyderabad

Ph.D. - Computer Science and Business Informatics

TU Wien
Syed Juned Ali