CV
Curriculum Vitae
General Information
Full Name | Salman Faroz S T |
Date of Birth | 13th August 1996 |
Languages | Tamil, English |
Academic Interests
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Mathematics
- Vector Calculus: Good in understanding and applying vector field theories.
- Optimization Techniques: Experienced in using optimization methods for problem-solving.
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Generative Artificial Intelligence
- Model Fine Tuning : Skilled in fine-tuning AI models for specific tasks.
- Quantization Methods: Knowledgeable in quantizing models for efficient deployment.
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Discriminative Artificial Intelligence
- Bayesian Inference: Applied Bayes’ Theorem for statistical modeling and inference.
- Attention Mechanisms: Experienced in implementing attention mechanisms from scratch
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Education
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2026 Master of Technology in Artificial Intelligence and Machine Learning
Indian Institute of Technology, Jammu -
2020 Bachelor of Engineering in Computer Science
N.S.N COLLEGE OF ENGINEERING AND TECHNOLOGY , Tamilnadu , India. -
2015 Diploma in Computer Science
KONGU HI-TEK POLYTECHNIC COLLEGE , Tamilnadu , India.
Professional Experience
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2024 - Present Senior Machine Learning Engineer
FirstSource - Specializing in healthcare solutions using advanced NLP and Generative AI techniques. Led the development of multi-agent systems and APIs tailored for chat applications, leveraging frameworks like AutoGen. Designed and implemented scalable APIs, ensuring seamless integration and high performance.
- Collaborated with cross-functional teams to deliver data-driven insights and innovative AI solutions, optimizing patient care and operational efficiencies.
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2022 - 2024 Machine Learning Engineer
Beez Innovation Labs Pvt. Ltd. - As the sole AI professional at this startup, I have been responsible for spearheading all AI initiatives. My work encompasses Generative AI (LLMs), Computer Vision, and NLP.
- I have been Building ML/DL models tailored to specific use cases, and managing the deployment phase using CI/CD pipelines, Docker, and Kubernates.I have successfully executed numerous Proof of Concepts (POCs) for clients, demonstrating the potential and effectiveness of our AI solutions.
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2021 - 2022 Udemy Instructor (Self Employed)
Udemy - As a self-employed instructor on Udemy, I developed and delivered a course that has attracted over 8000+ students. I managed all aspects of the course, including content creation, student engagement, and feedback collection.