Ujjwal Kaushik
@ujjwalkaushik1
I build production-ready agentic LLM systems, RAG pipelines, and ML applications.
What I'm looking for
I've built production-ready agentic LLM systems, including an LLMOps Gateway AI with LangGraph agents for security, routing, memory/RAG, and evaluation across OpenAI, Anthropic, Gemini, and Mistral.
I deploy AI services with FastAPI, Docker, Kubernetes, AWS EKS, GitHub Actions, and Prometheus/Grafana. My projects also include WebIntel AI for autonomous web intelligence and an XGBoost credit-approval risk predictor with real-time Streamlit predictions.
Through AI/ML, data analytics, and machine learning engineering internships, I've built ETL pipelines, KPI dashboards, NLP classifiers, and ML deployment workflows. I'm also a co-author of an IEEE publication on AI-driven Digital Mental Wellness using Transformer-based NLP, reinforcement learning, and federated learning.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer Intern
Profiquity Research Service
May 2025 - Aug 2025 (3 months)
Engineered features and preprocessing pipelines for machine learning models, applying statistical modeling techniques to large-scale structured datasets. Trained and evaluated ML models to surface business-critical patterns and inform decision-making.
Education
Degrees, certifications, and relevant coursework
Dr. A.P.J. Abdul Kalam Technical University (AKTU)
Bachelor of Technology, Artificial Intelligence and Machine Learning
2022 -
Grade: 7.5/10
Activities and societies: Co-authored an IEEE paper on AI-driven Digital Mental Wellness.
Pursuing a Bachelor of Technology in Artificial Intelligence and Machine Learning, expected to graduate in June 2026. Achieved a CGPA of 7.5/10.
Availability
Location
Authorized to work in
Job categories
Skills
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