CV
Curriculum Vitae
General Information
| Full Name | Salman Faroz S T |
| Languages | Tamil, English |
Academic Interests
-
Mathematics
- Vector Calculus: Good in understanding and applying vector field theories.
- Optimization Techniques: Experienced in using optimization methods for problem-solving.
-
Generative Artificial Intelligence
- Model Fine Tuning : Skilled in fine-tuning AI models for specific tasks.
- Quantization Methods: Knowledgeable in quantizing models for efficient deployment.
-
Discriminative Artificial Intelligence
- Bayesian Inference: Applied Bayes’ Theorem for statistical modeling and inference.
- Attention Mechanisms: Experienced in implementing attention mechanisms from scratch
Education
-
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
-
Apr. 2026 - Now AI/ML Developer II
tp.ai - Working on advanced AI/ML solutions, focusing on scalable deployment and real-world applications of Generative AI and NLP.
- Contributing to the design and development of intelligent systems, enhancing automation and business efficiency.
-
2024 - Mar. 2026 Senior Machine Learning Engineer
FirstSource - Specialized 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.
-
2022 - 2024 Machine Learning Engineer
Beez Innovation Labs Pvt. Ltd. - As the sole AI professional at this startup, spearheaded all AI initiatives across Generative AI (LLMs), Computer Vision, and NLP.
- Built ML/DL models tailored to specific use cases and managed deployment using CI/CD pipelines, Docker, and Kubernetes.
- Successfully executed multiple Proof of Concepts (POCs) for clients, demonstrating the effectiveness of AI solutions.
-
2021 - 2022 Udemy Instructor (Self Employed)
Udemy - Developed and delivered an online course with 8000+ students.
- Managed end-to-end course lifecycle including content creation, student engagement, and feedback.