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Schedule Interview NowMy name is Syed Nauyan R. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: Amazon SageMaker, Computer Vision, TensorFlow, PyTorch, Machine Learning, etc.. I hold a degree in Doctor of Philosophy (PhD), Master of Science (MS), Bachelor of Science (BS). Some of the notable projects I've worked on include: ChatBot With Voice Driven Facial Recognition/Voice Cloning/Lip Sync, AI based Synthetic Email Generation System, viaPhoton - Vending Machine, Crypto Trading Bots, Anti-Money Laundering Detection From Transaction Data, etc.. I am based in Islamabad, Pakistan. I've successfully completed 73 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I'm motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
Main technologies
10 years
9 Years
9 Years
9 Years
Potentially possible
Red Buffer
The module transcribes audio input to text, sends it to a chatbot, and uses the chatbot's response with a cloned voice sample to generate a spectrogram. This spectrogram is converted into an audio wav
Developed a system that generates random emails to test machine learning models for the detection of foul/offensive contents. To generate the emails, a hybrid approach was used. Hybrid methodology con
We created a system that vends tools and products required by the workers in the networking field. The goal of the system is to automate the process of getting any product being approved and collected
The project developed an automated crypto trading bot to optimize buying and selling for traders by analyzing market data and identifying trends. The challenge was ensuring accurate predictions of mar
The project aimed to create an anti-money laundering system that flags suspicious transactions through peer group analysis. Utilizing Python and SQL, the system addresses the challenge of accurately i
Doctor of Philosophy (PhD) in Computer science
2019-01-01-2023-01-01
Master of Science (MS) in Computer science
2016-01-01-2018-01-01
Bachelor of Science (BS) in Computer science
2012-01-01-2016-01-01