Headline

Artificial Intelligence & Machine Learning | Agentic AI Intern @ Innomatics Reasearch Labs | Data Analytics | Python, SQL, Power BI | Turning Data into Actionable Business Insights

About

Some people enjoy building models. I enjoy understanding why the data behaves the way it does. I’m Aravinda Sai, an Artificial Intelligence & Machine Learning graduate (2026) who enjoys turning scattered information into insights, decisions, and AI solutions that people can actually use. Over time, my interest evolved from training machine learning models to building complete data and AI workflows-from cleaning and exploring data to developing intelligent applications powered by NLP, RAG, and LLMs. Currently, I’m working as an Agentic AI Intern, building GenAI applications, AI automation workflows, and retrieval-based systems that connect data with real-world decision making. Favorite Project : ⚡ RAG-Based Document Query System - Built an AI-powered assistant that understands documents, retrieves relevant context, and delivers smarter responses using LangChain, vector search, and LLM APIs. Tech I work with: Python • SQL • Data Analytics • Machine Learning • NLP • Generative AI • RAG • LangChain • Power BI • Streamlit • REST APIs What I value most: Curiosity over assumptions. Understanding before optimization. Building things people can actually use. Currently open to opportunities in Data Analytics, Data Science, AI/ML, and Generative AI. 📍 Hyderabad & Bengaluru | Open to Relocate 📩 aervaaravind10@gmail.com Always open to conversations about data, AI, and building useful things.

Location

Hyderabad

Work experience

Agentic AI Intern at Innomatics Research Labs, Feb 2026 - Present · 5 mos, Hyderabad, Telangana, India, • Developed and deployed AI-powered applications using Python, FastAPI, LangChain, LLM APIs, and RAG architectures for intelligent automation and context-aware document querying systems. • Built advanced NLP and Agentic AI solutions including AI Resume Screening Systems, sentiment analysis pipelines, semantic retrieval workflows, and BERT-based text processing applications. • Designed scalable end-to-end AI pipelines involving document ingestion, preprocessing, embeddings generation, vector databases, prompt engineering, and multi-step reasoning workflows using LangGraph. • Integrated REST APIs, backend services, and modular AI architectures to improve automation efficiency, response accuracy, scalability, and real-world AI workflow orchestration. • Gained strong hands-on expertise in Generative AI, NLP, backend development, AI automation, debugging, system design thinking, and scalable AI application development through practical implementation of real-world projects.

AI & Green Skills Intern at Edunet Foundation, Jul 2025 - Aug 2025 · 2 mos, Selected for the prestigious Shell – Edunet Skills4Future AICTE Internship, a 4-week program focusing on Green Skills using AI technologies. - Worked on an AI-based project aimed at solving real-world challenges in the EV & sustainability sector. - Participated in mentorship sessions on data preprocessing, visualization, model building, and optimization. - Developed a complete project prototype and presented it to a panel of industry experts. - Gained hands-on experience in project planning, AI modelling, and presentation skills under industry mentorship. - Earned certifications from AICTE, Shell, and Edunet Foundation for technical skills and project execution.

Artificial Intelligence and Machine Learning(AIML) Intern at Edunet Foundation, Jun 2025 - Jul 2025 · 2 mos, Completed a 6-week AI internship with Edunet Foundation & AICTE, focusing on Employee Salary Prediction using Machine Learning. - Preprocessed real-world employee data and applied feature encoding - Built a Random Forest model for accurate predictions - Designed and deployed an interactive Streamlit web app - Gained practical skills in AI/ML, model evaluation, and deployment

Web Designing Intern at Sparks To Ideas, May 2025 - Jun 2025 · 2 mos, Remote, - Completed real-world web designing tasks during a 1-month internship - Developed responsive websites using HTML5, CSS3, and JavaScript - Applied UI/UX principles to design clean, user-friendly interfaces - Improved code quality through structured coding, debugging, and browser testing - Worked in a professional workflow environment, applying team feedback and deadlines

Artificial Intelligence and Machine Learning (AIML) Intern at CODTECH IT SOLUTIONS, Apr 2025 - May 2025 · 2 mos, Hyderabad, Telangana, India, · Developed and tested machine learning and NLP models using Python and popular ML libraries, resulting in stronger understanding of real-world AI workflows and model performance evaluation. · Built real-time AI applications for text, speech, and image data by applying ML and deep learning techniques, improving practical exposure to end-to-end AI solution development. · Explored generative AI and transformer-based concepts through hands-on implementation, strengthening problem-solving ability in modern AI use cases. · Collaborated remotely with mentors and peers to analyze requirements and debug models, improving adaptability and professional communication skills.

Artificial Intelligence(AI) Intern at SKILL INTERN, Sep 2024 - Feb 2025 · 6 mos, Hyderabad, Telangana, India

Education

Bachelor of Technology - BTech, ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING, TRINITY COLLEGE OF ENGINEERING AND TECHNOLOGY

Intermediate, MPC, SAI CHAITHANYA JUNIOR COLLEGE