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Vijaykumar P. - , Prompt Engineering, NLP

My name is Vijaykumar P. and I have over 13 years years of experience in the tech industry. I specialize in the following technologies: Microsoft Power Automate, Microsoft SharePoint Administration, ASP.NET Core, Office 365, Microsoft PowerApps, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Soccer Video Analysis Platform, AI-Powered Visa Document Review & Automation System, AI Pitch Deck Analyzer, Smart-Aleck Legal Research Assistant, AI-Powered Intelligent Chatbots, etc.. I am based in Ahmedabad, India. I've successfully completed 45 projects while developing at Softaims.

Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.

My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.

I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.

Main technologies

  • 13 years

  • lovable AI

    12 Years

  • AI Development

    10 Years

  • langchain

    9 Years

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Experience Highlights

Soccer Video Analysis Platform

An AI-powered soccer training app that analyzes football skills using advanced computer vision and artificial intelligence. Users can upload videos of their soccer drills and instantly receive professional-level feedback. The platform evaluates exercises like ball juggling, wall passes, and triangle sole footwork, providing analytics, performance ratings, technical assessments, and expert recommendations through an intuitive interface.

AI-Powered Visa Document Review & Automation System

Developed an intelligent automation solution to streamline visa application processing by integrating Microsoft Power Automate with Gemini 1.5 Pro via API. The system automatically extracts and validates data from documents such as passports, identity proofs, and financial records against visa requirements. Integrated with SharePoint Online for storage and Azure Functions for real-time validation, it reduced processing time from hours to seconds, improving efficiency, accuracy, and applicant satisfaction.

AI Pitch Deck Analyzer

Developed a web-based application leveraging the OpenAI API to analyze and review startup pitch decks. The system evaluates structure, clarity, and completeness, identifies potential gaps, and offers actionable improvement suggestions. Fully integrated with WordPress for seamless access and Azure Functions for scalable processing, it delivers instant, AI-driven feedback to help startups refine presentations, boost investor appeal, and enhance funding readiness.

Smart-Aleck Legal Research Assistant

Smart-Aleck is an AI-powered legal research assistant designed for Georgian law. It enables users to ask complex legal questions in natural language and receive accurate answers from extensive court decisions and legal documents. Utilizing a semantic search engine with sentence transformers and FAISS for similarity search, it delivers highly relevant results. The React-based interface features a chatbot for conversational queries and a document management dashboard. It supports multilingual use (English and Georgian), secure authentication, and optional subscription features.

AI-Powered Intelligent Chatbots

AI chatbots utilize advanced Natural Language Processing (NLP) and Machine Learning (ML) algorithms, such as transformer models (e.g., GPT, BERT), for semantic understanding and contextual response generation. Leveraging deep learning techniques, they perform intent detection, sentiment analysis, and information retrieval from large-scale datasets. With continuous reinforcement learning, they optimize response accuracy, adapt to user preferences, and personalize interactions.

Education

  • SadVidhya Mandal Institute of Technology

    Bachelor of Engineering (BEng) in Computer science

    2004-01-01-2007-01-01

Languages

  • English