Open to opportunities

Keshav Wadhwa

@keshavwadhwa

Message

AI and Machine Learning developer blending backend engineering and data analytics to build LLM-powered apps.

India

Message

What I'm looking for

I’m looking for an entry-level role where I can build LLM/RAG-powered backend services with Python, FastAPI, and REST APIs, while using data analytics to deliver measurable product impact. I value hands-on learning and teamwork.

I’m an Artificial Intelligence and Machine Learning graduate with hands-on experience in Full Stack Development, Backend Development, Data Analytics, and AI/ML applications. I focus on turning data and AI into scalable, real-world solutions.

I’ve built LLM-powered systems like a RAG chatbot using LangChain, OpenAI APIs, FAISS, and FastAPI, including semantic search with embeddings-based retrieval and OCR preprocessing with Tesseract/OpenCV. I also developed REST API products such as an Employee Management System with JWT authentication and role-based access control.

My background spans data-driven work—performing data cleaning, EDA, SQL-driven analysis, and Power BI dashboards to generate actionable KPIs and insights. I’ve also trained and deployed ML models, including an ASL Sign Language recognition system using CNNs with real-time webcam prediction.

I enjoy solving engineering challenges through continuous learning, strong problem-solving, and collaboration. I’m passionate about leveraging technology, data, and artificial intelligence to deliver reliable, user-focused applications.

Experience

Work history, roles, and key accomplishments

AI & Cloud Virtual Intern

Edunet Foundation (IBM SkillsBuild)

Jul 2025 - Aug 2025 (1 month)

Developed AI-based applications using IBM Cloud and IBM Watson services, integrating machine learning models with backend REST APIs. Built and evaluated models with data preprocessing/feature engineering, and contributed to cloud deployment and testing of AI solutions.

IBM Watson IBM Cloud Machine Learning REST APIs data preprocessing Feature Engineering Model Evaluation cloud deployment Testing

Data Science Intern

Grades Global Immigration Services Limited

Jul 2024 - Aug 2024 (1 month)

Analyzed large datasets using Python, Pandas, NumPy, and Excel to support business decision-making. Conducted data cleaning and EDA, built automated data pipelines, and generated reports and visual insights to improve operational efficiency.

Python Pandas NumPy MS Excel Data Cleaning Data Pipelines Data Visualization Reporting

Python Internshala Training

Internshala Training

Jun 2024 - Jul 2024 (1 month)

Completed an 8-week intensive Python training covering fundamentals, OOP, SQLite, and GUI development with PyQt, plus AI modules. Built hands-on Python applications and scored 90% in the final assessment.

Python OOP SQLite PyQt GUI Development Problem Solving AI Modules

Machine Learning Intern

Imarticus Learning

Jul 2023 - Aug 2023 (1 month)

Developed and evaluated machine learning models for predictive analytics using end-to-end ML pipelines. Worked on data collection, cleaning, preprocessing, feature engineering, and model training/testing to assess performance and solve real-world business problems.