Sahil Ahammed — Data Scientist
I'm a Data Scientist with 3 years of experience applying Machine Learning, Deep Learning, and Reinforcement Learning to solve real-world industrial challenges—ranging from optimizing operations to detecting anomalies in noisy sensor data. My work has taught me to thrive in complex environments where data is messy, labels are limited, and deployment is critical. I’ve handled large-scale, high-dimensional industrial data and used techniques like diffusion models to overcome limited labeling. On the production side, I focus on building robust models and continuously updating them post-deployment to ensure reliability and sustained performance. Alongside this, I’ve built conversational AI systems powered by large language models and Retrieval-Augmented Generation (RAG), creating context-aware assistants that deliver intelligent and relevant responses. Through self-initiated projects, I’ve also explored fine-tuning LLMs and applying Reinforcement Learning from Human Feedback (RLHF) to align model behavior with user intent. Whether it’s scaling predictive systems or designing AI that understands language, I’m passionate about making AI useful, reliable, and grounded in the real world
Stackforce AI infers this person is a Data Scientist specializing in AI and Manufacturing solutions.
Experience: 3 yrs 7 mos
Skills
- Reinforcement Learning
- Large Language Models (llm)
- Data Science
- Deep Learning
Career Highlights
- Expert in designing advanced AI systems.
- Proven track record in process optimization.
- Skilled in anomaly detection using deep learning.
Work Experience
Infogain
Data Scientist (6 mos)
Fractal
Data Scientist (1 yr)
Eugenie.ai
Associate Data Scientist (2 yrs 1 mo)
Research And Development Intern (5 mos)
Perfectice
Data Science Intern (2 mos)
Education
BTech - Bachelor of Technology at Indian Institute of Information Technology, Design and Manufacturing, Jabalpur
