Qaisar

AI Engineer specializing in Generative AI, LLM systems, and multi-agent architectures, with hands-on experience building production-grade applications using LangChain, Groq, and Retrieval-Augmented Generation (RAG). Skilled in designing agentic workflows, prompt engineering, and LLM evaluation, with a strong focus on building scalable, low-latency AI systems. Proven ability to develop end-to-end GenAI pipelines involving web search, tool integration, and structured output generation, along with experience in fine-tuning techniques (LoRA, DPO) and model alignment.

Strong foundation in Python, data structures, and system design, with practical experience deploying interactive AI applications using Streamlit and FastAPI.

Telecom AI/ML Engineer at Reliance Jio (2026-05 – Present)

• Developing a machine learning-based prediction model for the billing and invoice system, enabling accurate forecasting of billing anomalies, usage patterns, and payment behaviour across large-scale telecom datasets.
• Building and optimizing end-to-end ML pipelines for data preprocessing, feature engineering, model training, and evaluation; working closely with cross-functional teams to integrate predictions into production billing workflows.

Data Annotator at BigOH Tech (2026-02 – 2026-04)

• Prepared, labelled, and organised large volumes of text, image, and structured data to train AI and machine learning models, ensuring high-accuracy annotations aligned with project guidelines and quality benchmarks.
• Evaluated AI-generated outputs for quality and accuracy; collaborated with cross-functional teams on data validation and iterative feedback cycles to continuously improve model training data.

Master of Computer Applications in Computer Applications – Jamia Millia Islamia (2024 – 2026)

B.Sc in Physics – Aligarh Muslim University (2020 – 2023)