Praduman Sharma

Full Stack AI Developer with hands-on production experience in LLM integration, RAG pipelines, agentic workflows, and AI-driven automation. Proficient in building scalable backend services using Python and Node.js, orchestrating multi-step AI pipelines with LangChain and n8n, and deploying LLM-powered applications via OpenAI and Hugging Face APIs. Demonstrated track record of reducing operational overhead by 60%, improving pipeline latency by 35%, and sustaining 99%+ uptime in live systems.

Passionate about shipping reliable, production-grade AI products.

AI Developer at Diglip7 (2025-11 – Present)

• Architected and deployed 10+ AI automation workflows using n8n and custom LLM agents (LangChain + OpenAI API), cutting manual processing time by ~60% across client reporting and onboarding pipelines.
• Built production RAG pipelines using LangChain, OpenAI Embeddings, and FAISS/ChromaDB — enabling semantic document retrieval with sub-2s query latency across 50K+ document corpora.
• Developed scalable Python/Node.js backend services with secure webhook endpoints, structured logging, and API orchestration for multi-tenant AI systems.
• Reduced AI pipeline latency by 35% by implementing response caching, exponential retry logic, and real-time monitoring — achieving 99%+ uptime over sustained production operations.
• Integrated function/tool calling workflows via OpenAI and Hugging Face APIs, enabling dynamic, context-aware AI responses in client-facing products.

Machine Learning Intern at CodeAlpha (2025-02 – 2025-05)

• Developed and tuned 3+ classification models (Random Forest, XGBoost, Logistic Regression), achieving 15%+ F1-score improvement via GridSearchCV hyperparameter optimization and advanced feature engineering.
• Built end-to-end ML pipelines covering data preprocessing, model training, evaluation, and reproducible experiment tracking using structured documentation.
• Conducted model validation and deployment-readiness testing, reducing inference errors by 20% before handoff to production.

Python Development Intern at Next24tech (2024-06 – 2024-08)

• Automated 5+ repetitive business workflows using Python scripting and API integrations, reducing manual task time by ~40%.
• Developed ML-based predictive models and processed large datasets using Pandas and NumPy to surface data-driven insights for business stakeholders.
• Built data preprocessing pipelines including data cleaning, transformation, and feature engineering to improve model training efficiency.
• Collaborated with the development team to debug Python applications and optimize code performance for scalable data processing tasks.

B.Tech in CSE (Artificial Intelligence & Machine Learning) – Khwaja Moinuddin Chishti Language University (2022 – 2025)

Diploma in Electrical Engineering – M.M.I.T Kasganj (2019 – 2022)