Contact
- Email: wassimnijaoui@gmail.com
- Phone: +49 178 5980268
- Focus: LLMs, backend, applied AI
Curriculum Vitae
AI/ML engineer with production, research, and startup experience.
AI Engineer with experience across production GenAI systems, backend engineering, telecom, applied research, and startup execution. Work spans LLM products, RAG systems, multimodal AI, microservices, sensing platforms, and research collaborations translated into practical systems.
Ericsson
XCoding Solutions
CGI
Cisco
Ciena
Concordia
Teluq
Current snapshot
- Current role: AI Engineer at XCoding Solutions
- Focus: GenAI, systems, research
- Master's in AI at Concordia
- Production GenAI plus backend systems experience
Core areas
- GenAI
- RAG
- Java microservices
- Research engineering
- Cloud and MLOps
Industry Experience
Professional Experience
Industry roles across AI/ML, backend systems, telecom platforms, and operational engineering.
Ericsson
Ericsson
AI/ML Engineer
- Designed production-scale user-facing RAG-based GenAI systems and continued supporting them after rollout.
- Built agentic and multi-agent workflows for retrieval, reranking, validation, and response orchestration.
- Improved semantic search depth and relevance through embedding optimization and retriever tuning.
- Delivered custom reusable LangChain AI components that accelerated prototyping and development.
AI/ML Engineer
- Engineered an anomaly detection system to identify failing Kubernetes pods and microservices in real time.
- Improved preprocessing speed by 200 percent and reduced model training time by 50 percent for the Failure Prediction PoC.
- Managed an Agile-based project flow and implemented tests and visualizations.
- Reduced data dimensionality by 40 percent while contributing to the product-facing implementation.
Software Engineer
CGI
- Built and scaled Java 8 and Java 21 Spring Boot microservices for mission-critical telecom systems.
- Maintained Kafka and REST services processing 20M plus daily requests under TMF standards.
- Automated KPI monitoring and reduced recurring task time for the team by 80 percent per day.
- Deployed ML-driven health monitoring pipelines using time-series metrics and probabilistic models.
Software Engineer Intern
Cisco
- Software engineering internship completed from April 2023 through September 2023.
- Contributed during a transition period between earlier AI and systems internships and later telecom platform roles.
AI/ML and Full-Stack Engineer Intern
Ciena
- Created a PoC for meeting call analytics integrated with AWS.
- Engineered AI models that improved QA workflow efficiency by over 500 percent of time spent on calls.
- Built product-facing interfaces and workflow integrations around the analytics platform.
- Trained custom models reaching 88 percent accuracy for explainable analysis of call quality.
- Managed ingestion pipelines for thousands of calls at over 90 percent lower cost.
IT Support Specialist
CGI
- Solved incidents and operational problems at level 1 and level 2.
- Worked both remote and onsite to resolve issues and support end users.
- Built automations to reduce repetitive support work and speed up response.
Startup Work
Startup Experience
Founder-led and product-focused work across service platforms, assistive AI, and mobility applications.
AI Engineer
XCoding Solutions
- Designed and delivered end-to-end chatbot systems using rule-based logic, knowledge-graph reasoning, and ingestion-driven retrieval pipelines.
- Built LLM workflows around the latest Qwen models, including Qwen VL, for text and multimodal assistant use cases.
- Used LangChain to structure retrieval, orchestration, prompt pipelines, and production-ready chatbot flows.
- Built a proctored cheating-detection system and developed off-screen gaze detection models from scratch, with over 90% accuracy.
AlloGenie
- Platform matching skilled workers with people looking for help on a specific task.
- Users could get help through video calls or arranged meetings over the platform.
InsightWearAI
- Led the startup and won more than 6 awards in competitions and innovation programs.
- Built affordable assistive technologies to help visually challenged users live independently and confidently.
- Created an AI-powered watch and necklace to help blind users navigate their surroundings.
Parklive
- Assisted parking app for the Montreal area that helps users find nearby available parking and understand signs.
- My work focused mainly on optimal route optimization and related parking decision logic.
Research Experience
Research Experience
Research work spanning sensing systems, computer vision, NILM, anomaly detection, and occupancy estimation.
Research Collaboration with Desjardins, Occupancy Estimation
- Worked on occupancy estimation from thermal images, air quality signals, data engineering, and system design.
- Combined data pipelines and sensing approaches to estimate overall occupancy in practical banking-related contexts.
NSERC Project, Anomaly Detection for Smart Homes
- Worked on anomaly detection for smart-home contexts with data augmentation in the NILM domain.
- Contributed to the work that fed into the ICONIP 2024 publication.
AI Researcher and Engineer, Air Quality Project
Concordia
- Handled hardware including PCB design, case design, circuit design, wiring, and the build of air-quality monitors.
- Worked on system design for servers and AQ devices, including device-side code in C.
- Owned deployment, monitoring, and long-running operation of the platform.
- Designed and deployed over 20 high-resolution air-quality monitors that remained operational for more than 4 years.
NSERC Project, Object Counting and Detection
- Modified DETR and fine-tuned it for object counting and detection tasks.
- Worked on adapting the architecture instead of only using it as a fixed baseline.
NSERC Project, Semantic Segmentation on Road Scenes
- Developed a multi-model approach for semantic segmentation on road scenes.
- Worked on research modeling and experimentation for vision tasks in road-scene imagery.
Education & Publications
Education & Publications
Academic background in software engineering and artificial intelligence, alongside published research work.
Master of Applied Science
Artificial Intelligence
Concordia University, Montreal
- Timeline: 01/2025 - 05/2026.
- Topic: model compression for cloud and edge systems.
Bachelor of Engineering
Software Engineering
Concordia University, Montreal
- Timeline: 01/2020 - 12/2024.
- Award in Engineering Excellence.
ICONIP 2024
Behavior-Driven Data Augmentation for NILM, published with Springer Nature.
- Published during my undergraduate studies.
Awards and Competitions
Recognition
Awards, competition results, and research recognition across academic and innovation work.
NSERC Undergraduate Student Research Award
Received 3 times: 2021, 2022, and 2024.
Ferique Engineering Competition
3 awards listed in the resume.
Gina Cody Innovation Fund
1st place, 3 times: 2022, 2023, and 2024.
ICONIP 2024
Published work included as part of the academic and competition profile.
Closing Note
Focused on building AI systems that connect research, engineering, and real-world impact.
This profile reflects a combination of production AI delivery, research depth, systems thinking, and product execution across both established companies and founder-led ventures.