Arjun Bhargava
Senior Machine Learning Engineer
Noida
Summary
AI/ML Engineer with 9+ years of experience in building and optimizing transformer-based NLP systems, anomaly detection stacks, and embedded ML pipelines. Seeking to leverage expertise in Qualcomm's AI Model Efficiency initiatives, focusing on on-device inference, PEFT, and embedded system design. Strong foundation in machine learning and data science for driving impactful results through developing and deploying ML models, optimizing algorithms, and using tools like Python, TensorFlow, and PyTorch. Recognized for exceptional team collaboration skills, adaptability to evolving project requirements, and excellence in solving complex problems and delivering reliable solutions.
Overview
9
9
years of professional experience
4
4
years of post-secondary education
5
5
Certifications
Work History
Senior Machine Learning Engineer
Samsung Research Institute
Noida
01.2024 - Current
- Knox Phishing Protection (KPP)
- Fine-tuned BERT/DistilBERT with PEFT for mobile inference, achieving 97% precision under 150ms latency.
- Deployed system to 10M+ devices; designed tokenizer-aware preprocessing & quantization pipeline.
- Integrated detection engine with ZTER backend & mentored 8 cross-functional engineers.
- ZTER – Zero Trust Endpoint Resilience
- Built anomaly signal detection from SEAndroid logs for embedded Linux devices.
- Integrated log analysis with Samsung SoC telemetry and CI/CD evaluation systems.
- Worked closely with domain experts to ensure accurate representation of problem context within developed models, enhancing their real-world applicability.
Lead Engineer – SEAndroid Security & Automation
Samsung Research Institute
Noida
01.2022 - 01.2023
- Automated SEAndroid MAC policy validation via SEPortal; reduced review effort by 80%.
- Introduced RPA flows, saving 12,000+ hours annually across testing and deployment.
- Achieved cost savings by streamlining workflows, automating repetitive tasks, and reducing material waste across various projects.
Lead Engineer – Advanced Technology Labs (ATL)
Samsung Research Institute
Noida
01.2019 - 01.2021
- Delivered ML prototypes: Smart Collage, Destination Prediction, Video Summarization.
- Trained 100+ engineers internally and drove AI-first innovation within flagship feature teams.
Software Engineer
Samsung Research Institute
Bangalore
01.2016 - 01.2019
- Built RESTful microservices for Knox Configurator (bulk device enrollment APIs).
- Created data pipelines for Samsung Mall using Hadoop + AWS for real-time product search.
- Contributed to Samsung Pay Flywheel — built user cohort analysis using Metabase + Python.
- Developed scalable and maintainable code, ensuring long-term stability of the software.
Education
B.Tech - Computer Science & Engineering
National Institute of Technology (NIT)
Warangal, India 01.2012 - 01.2016
ICSE -
St. Peter’s School
Raebareli, India04.2011
Skills
- Machine Learning
- NLP & Transformers
- PyTorch
- TensorFlow
- BERT
- PEFT
- Python
- C
- Java
- Quantization
- Git
- Anomaly detection
- Big data analytics
- Ensemble methods
- Transfer learning
- Deep learning
- Interpersonal communication
- Team collaboration
Certification
LLM Engineering, Ed Donner, 2025
Accomplishments
- AIEEE AIR 404, State Rank 21
- Felicitated by CM of UP (100/100 in Math & Comp. Applications)
- Full tuition waiver at NIT Warangal
- Spot, Squad & Excellence Awards at Samsung
Interests
Running marathons
Cricket
Non-fiction reading (AI, psychology, strategy)
Timeline
Senior Machine Learning Engineer
Samsung Research Institute
01.2024 - Current
Lead Engineer – SEAndroid Security & Automation
Samsung Research Institute
01.2022 - 01.2023
Lead Engineer – Advanced Technology Labs (ATL)
Samsung Research Institute
01.2019 - 01.2021
Software Engineer
Samsung Research Institute
01.2016 - 01.2019
B.Tech - Computer Science & Engineering
National Institute of Technology (NIT)
01.2012 - 01.2016
ICSE -
St. Peter’s School
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