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Vijaykumar P. AI, Python and Fullstack

My name is Vijaykumar P. and I have over 13 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.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • AI, Python and Fullstack

    13 years

  • Lovable AI

    9 Years

  • AI Development

    8 Years

  • Langchain

    11 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Cognizant Technology Solutions

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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