Noida, Uttar Pradesh, India
I don't just use AI APIs. I build Agentic Systems that solve expensive problems. Traditional engineering is about writing functions. Modern AI engineering is about orchestrating Reasoning Loops. I am the Lead Architect at Veridion Intelligence, where I spend my time building DCIS-1—an Autonomous Auditor that reads laws (DPDP/SOC2) and audits companies. What I Bring to the Table: Systems Thinking: I don't need a manager to tell me how to deploy a container. I handle the stack from LangGraph (Logic) to AWS (Cloud). Product Mindset: I build tools that generate revenue/value, not just code that passes unit tests. Speed: I ship production-grade AI faster than most traditional teams plan their sprint. I am currently open to Contract or High-Impact Engineering Roles where I can deploy Agentic AI to solve hard business problems. AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn Cloud Platforms: Microsoft Azure, AWS Data Visualization Tools: Power BI, Tableau I am open to internships and collaborative opportunities to gain hands-on experience and contribute to innovative projects in the AI and Data Science domain.
Completed structured training in supervised learning, regression, and classification algorithms using Python's core data science stack (NumPy, Pandas, Matplotlib, Scikit-learn). Built an end-to-end Car Price Prediction model using linear and polynomial regression on real-world automotive datasets, covering full ML pipeline: EDA, data cleaning, feature engineering, and evaluation.