About
AI engineer with experience in machine learning, software development, natural language processing, and generative AI. Proficient in Python, Java, SQL, REST APIs, backend development, and data analysis, with a focus on scalable and efficient software solutions.
Experience
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AI InternInfosys SpringboardAug 2025 – Oct 2025
Applied machine learning techniques including data preprocessing, feature engineering, model validation, and data analysis using Python and Scikit-learn. Contributed to AI-driven experimentation, workflow optimization, and intelligent application development.
Education
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2026
Master of Computer Applications (MCA)Computer Application · Aug 2024 – Aug 2026
Skills
Tools / apps / platforms
Projects
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Python Rag and Langgraph
Developed an AI-powered RAG application for document-based question answering. Implemented document retrieval and contextual response generation using Generative AI
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AI Chatbot / LLM AssistantPython, Gemini API, LangChain
Developed a conversational AI assistant using Gemini API and LangChain to generate contextual responses and support multi-turn interactions.
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NewsPulse AI – Global News Trend AnalyzerPython, NLP, News API, Generative AI
Built an AI-powered news intelligence platform for trend detection, entity recognition, and automated insight generation using NLP techniques.
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Binance Futures Trading BotPython, Binance API, Automation, Data Analysis
Developed an automated cryptocurrency futures trading bot using the Binance API for real-time market analysis, trade execution, and risk management. Implemented automated order management, strategy execution, and performance monitoring to support algorithmic trading workflows.
Courses & certifications
- Fundamentals of AI/ML · AWS
- Machine Learning Certification · Scaler
- Artificial Intelligence Certification · Infosys Springboard
🏆 Achievements & awards
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Research Paper: “Classical-Quantum Co-Processing for Financial Risk Analysis” · 2025