AI/ML Engineer and final-year B.Tech (CSE – Artificial Intelligence & Machine Learning) candidate with hands-on, production experience building LLM applications, Retrieval-Augmented Generation (RAG) pipelines, multi-agent systems, and LLM evaluation/QA frameworks. Currently focused on prompt engineering, hallucination detection, and quality assurance for large language models. Proficient in Python, TensorFlow, PyTorch, LangChain, LangGraph, Hugging Face Transformers, and Microsoft Azure, with strong LLMOps/MLOps fundamentals across Docker, CI/CD, FastAPI, and MLflow. Delivered measurable business impact through AI-driven automation and robust evaluation practices.

VADLAKONDA CHARAN KUMAR

AI/ML Engineer and final-year B.Tech (CSE – Artificial Intelligence & Machine Learning) candidate with hands-on, production experience building LLM applications, Retrieval-Augmented Generation (RAG) pipelines, multi-agent systems, and LLM evaluation/QA frameworks. Currently focused on prompt engineering, hallucination detection, and quality assurance for large language models. Proficient in Python, TensorFlow, PyTorch, LangChain, LangGraph, Hugging Face Transformers, and Microsoft Azure, with strong LLMOps/MLOps fundamentals across Docker, CI/CD, FastAPI, and MLflow. Delivered measurable business impact through AI-driven automation and robust evaluation practices.

Available to hire

AI/ML Engineer and final-year B.Tech (CSE – Artificial Intelligence & Machine Learning) candidate with hands-on, production experience building LLM applications, Retrieval-Augmented Generation (RAG) pipelines, multi-agent systems, and LLM evaluation/QA frameworks. Currently focused on prompt engineering, hallucination detection, and quality assurance for large language models.

Proficient in Python, TensorFlow, PyTorch, LangChain, LangGraph, Hugging Face Transformers, and Microsoft Azure, with strong LLMOps/MLOps fundamentals across Docker, CI/CD, FastAPI, and MLflow. Delivered measurable business impact through AI-driven automation and robust evaluation practices.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent
Hindi
Advanced
Telugu
Fluent
Arabic
Intermediate

Work Experience

AI/LLM Analyst
June 1, 2026 - Present
Performed prompt engineering and structured QA reviews on large language model outputs by evaluating accuracy, coherence, safety, and instruction-following. Designed and refined prompts against defined evaluation guidelines, and applied hallucination detection, factual error identification, and policy violation checks. Collaborated with cross-functional AI training teams to document edge cases, calibrate evaluation rubrics, and maintain data quality for downstream fine-tuning cycles.
AI/ML Engineer Intern
April 1, 2025 - September 30, 2025
Designed and deployed end-to-end machine learning systems and LLM-powered applications using Python, FastAPI, and Docker to achieve sub-200ms API latency in containerized MLOps environments. Engineered RAG pipelines integrating FAISS and ChromaDB across structured/unstructured data to improve query accuracy by 30%. Built deterministic LLM evaluation frameworks for hallucination rate, content safety, bias detection, and conversational quality, enabling automated benchmarking. Automated agentic workflows using LangChain and LangGraph, reducing manual data operations by 35%, and containerized ML workloads with Docker. Built SQL ETL pipelines with data validation and integrity checks for downstream training workflows and produced bilingual Power BI dashboards for KPI tracking and faster decision-making.
Subject Matter Expert – AI/ML & Computer Science
October 1, 2024 - April 30, 2025
Solved 200+ complex problems in machine learning, deep learning, NLP, algorithms, data structures, and Python programming while maintaining high accuracy. Reinforced conceptual clarity in AI/ML topics including supervised/unsupervised learning, model evaluation, NLP, and statistical analysis for a global learner base.

Education

B.Tech – Computer Science Engineering (Artificial Intelligence & Machine Learning) at JNTU, Hyderabad
January 1, 2023 - July 8, 2026

Qualifications

Generative AI — LinkedIn Learning
January 11, 2030 - July 8, 2026
Machine Learning — Infosys Springboard
January 11, 2030 - July 8, 2026
Database Management Systems — Infosys Springboard
January 11, 2030 - July 8, 2026
Java Programming — NPTEL (IIT Madras)
January 11, 2030 - July 8, 2026

Industry Experience

Software & Internet, Computers & Electronics, Education, Professional Services