Professional Overview
AI/ML engineer with a strong foundation in deep learning, LLMs, and product-centric AI applications. Proven ability to lead cross-functional teams, develop end-to-end AI solutions, and communicate complex ideas to non-technical stakeholders. Background in UPSC preparation and NCC leadership brings analytical rigor, problem-solving, and people management skills. Fast learner, self-driven, and passionate about building AI-first products that create impact.
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
