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updated website v2.0
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@NirmitAgrawal02
NirmitAgrawal02 committed Apr 12, 2024
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74 changes: 51 additions & 23 deletions README.md
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<h2>Where I've Worked</h2>
<div class="List" id="WorkList">
<div class="Job"><span class="far fa-hand-point-right"></span>
<a href="https://crmnext.us/">Technical Consultant Intern @ CRMNEXT</a>
<a href="https://autobimroute.com/">Software Engineer Intern @ Auto BIM Route</a>
</div>
<div class="Job_Desc">
<ul>
<li>
Formulated and documented Product 360 overview and optimized pipeline for client, achieving a 25% increase in efficiency
Mitigated legacy Windows Forms application to a modern WPF application using C#, XAML and .NET.
</li>
<li>
Designed, developed, and integrated websites and external data sources with CRMNEXT Platform. Led management of MySQL
database and optimization of procedures, improving efficiency by 40%
Adopted MVVM architecture, integrating OpenTK and OpenGL with JSON files for rendering 2D design layouts.
</li>
<li>
Constructed interactive reports and analytical dashboards, reducing manual data manipulation time by 99%
Established a fully automated CI/CD pipeline, reducing deployment time by 30%.
</li>
<li>
Crafted ASP.NET API, conducted rigorous testing utilizing Postman and Soap UI, achieving a 15% defect reduction and a 20%
improved system response times. Boosted performance by 30% through implementation of Auto-reloading functionality
Incorporate ABR AI API into the new software systems, aiming for a 3.5% reduction in processing time for relevant tasks

</li>

</ul>
</div>
<br>
<div class="Job"><span class="far fa-hand-point-right"></span>
<a href="https://crmnext.us/">Technical Consultant Intern @ Acidaes Solutions Pvt LTD</a>
</div>
<div class="Job_Desc">
<ul>
<li>
Formulated and documented Product 360 overview and optimized pipeline for client, achieving a 12% increase in efficiency.
</li>
<li>
Developed, and integrated websites, external data sources, and AI-driven chatbots, enhancing customer service response time
by 30%.
</li>
<li>
Collaborated on a team of 10 to migrate CRMnext to a microservices architecture, enhancing scalability by 13%.
</li>
<li>
Created a real-time analytics dashboard using React and D3.js, improving data visualization for 1,000+ users.
</li>
<li>
Crafted RESTful APIs, conducted rigorous testing using Postman and Soap UI, and enhanced CRMnext mobile responsiveness with
Bootstrap for 5,000+ mobile users.
</li>
<li>
Led the management of the MySQL database and optimization of procedures.
</li>
</ul>
</div>
<br>
<div class="Job"><span class="far fa-hand-point-right"></span>
<a href="https://c-bia.com/">Software Engineer Intern @ C-BIA Solutions</a>
</div>
Expand All @@ -108,61 +134,63 @@
<div class="List" id="WorkList">
<div class="Job"><span class="far fa-hand-point-right"></span>
<a
href="https://github.com/sohmpatil/NPID-UI">National Police Incident Dashboard <i> | React.js, Python, Apache Jena Fuseki, Sparql </i></a>
href="https://github.com/sohmpatil/NPID-UI">National Police Incident Dashboard </a>
</div>
<div class="Job_Desc">
<ul>
<li>
Implemented a full stack web application with a 99.9% uptime on Amazon EC2, ensuring continuous accessibility for users.
Integrated Flask API for seamless data flow, expanding application capabilities
Created a user-friendly National Police Incident Database (NPID) full stack application using semantic web engineering.
</li>
<li>
Led data preprocessing with pandas, analyzing a 1900+ police incidents dataset. Generated 42,000+ triples, showcasing advanced
RDF data management. Developed an ontology-based system for optimized data organization and query efficiency
Deployed on Amazon EC2 with a 99.9% uptime, ensuring continuous accessibility. Integrated Flask API for seamless data flow,
expanding application capabilities.
</li>
<li>
Accomplished a responsive user interface, reducing page load times by 99% through ReactJS optimization
Preprocessed data with pandas, analyzing a 1900+ police incidents dataset, generating 42,000+ triples. Built an ontology-based
system for optimized data organization and query efficiency.
</li>
</ul>
</div>
<br>
<div class="Job"><span class="far fa-hand-point-right"></span>
<a
href="https://play.unity.com/mg/other/manpac-build-webgl">PACMAN 3D <i> | Unity, C# </i></a>
href="https://play.unity.com/mg/other/manpac-build-webgl">PACMAN 3D </a>
</div>
<div class="Job_Desc">
<ul>
<li>
Synthesized gaming experience with immersive audio and visual elements, and smooth camera transitions, resulting in a significant
25% increase in user satisfaction and a 15% boost in player engagement
Synthesized gaming experience with immersive audio and visual elements, and smooth camera transitions, resulting in a
significant 25% increase in user satisfaction and a 15% boost in player engagement.
</li>
<li>
Pioneered responsive player controls and refined enemy AI, contributing to a 35% improvement in overall user experience
Pioneered responsive player controls and refined enemy AI, contributing to a 35% improvement in overall user experience.
</li>
<li>
Solved intricate technical challenges through methodical debugging, accomplishing a substantial 40% decrease in critical bugs
Overcame intricate technical challenges through methodical debugging, accomplishing a 40% decrease in critical bugs.
</li>
</ul>
</div>
<br>
<div class="Job"><span class="far fa-hand-point-right"></span>
Face Recognition and detection system <i> | python </i>
Face Recognition and detection system
</div>
<div class="Job_Desc">
<ul>
<li>
Built an advanced face detection and recognition system using OpenCV library and SVM (Support Vector Machine) algorithm
Built an advanced face detection and recognition system using OpenCV library and SVM (Support Vector Machine) algorithm.
</li>
<li>
Utilized advanced feature extraction algorithms to identify crucial facial components (eyes, ears, nose, and mouth).
</li>
<li>
Extracted key facial features(eyes, nose, and mouth) utilizing a feature extraction algorithm and delivered a precision of 91% by
training an SVM classifier on extracted facial features to perform face recognition
Attained 91% precision by training an SVM classifier on extracted features for precise face recognition
</li>
</ul>
</div>
<br>
<div class="Job"><span class="far fa-hand-point-right"></span>
<a
href="https://thesai.org/Publications/ViewPaper?Volume=11&Issue=6&Code=IJACSA&SerialNo=84">Paracom <i> | Kotlin, Node-Red, Raspberry Pi, Arduino </i></a>
href="https://thesai.org/Publications/ViewPaper?Volume=11&Issue=6&Code=IJACSA&SerialNo=84">Paracom </a>
</div>
<div class="Job_Desc">
<ul>
Expand Down
74 changes: 51 additions & 23 deletions home.html
View file
Original file line number Diff line number Diff line change
Expand Up @@ -62,29 +62,55 @@ <h2>Hello There, it's me</h2>
<h2>Where I've Worked</h2>
<div class="List" id="WorkList">
<div class="Job"><span class="far fa-hand-point-right"></span>
<a href="https://crmnext.us/">Technical Consultant Intern @ CRMNEXT</a>
<a href="https://autobimroute.com/">Software Engineer Intern @ Auto BIM Route</a>
</div>
<div class="Job_Desc">
<ul>
<li>
Formulated and documented Product 360 overview and optimized pipeline for client, achieving a 25% increase in efficiency
Mitigated legacy Windows Forms application to a modern WPF application using C#, XAML and .NET.
</li>
<li>
Designed, developed, and integrated websites and external data sources with CRMNEXT Platform. Led management of MySQL
database and optimization of procedures, improving efficiency by 40%
Adopted MVVM architecture, integrating OpenTK and OpenGL with JSON files for rendering 2D design layouts.
</li>
<li>
Constructed interactive reports and analytical dashboards, reducing manual data manipulation time by 99%
Established a fully automated CI/CD pipeline, reducing deployment time by 30%.
</li>
<li>
Crafted ASP.NET API, conducted rigorous testing utilizing Postman and Soap UI, achieving a 15% defect reduction and a 20%
improved system response times. Boosted performance by 30% through implementation of Auto-reloading functionality
Incorporate ABR AI API into the new software systems, aiming for a 3.5% reduction in processing time for relevant tasks

</li>

</ul>
</div>
<br>
<div class="Job"><span class="far fa-hand-point-right"></span>
<a href="https://crmnext.us/">Technical Consultant Intern @ Acidaes Solutions Pvt LTD</a>
</div>
<div class="Job_Desc">
<ul>
<li>
Formulated and documented Product 360 overview and optimized pipeline for client, achieving a 12% increase in efficiency.
</li>
<li>
Developed, and integrated websites, external data sources, and AI-driven chatbots, enhancing customer service response time
by 30%.
</li>
<li>
Collaborated on a team of 10 to migrate CRMnext to a microservices architecture, enhancing scalability by 13%.
</li>
<li>
Created a real-time analytics dashboard using React and D3.js, improving data visualization for 1,000+ users.
</li>
<li>
Crafted RESTful APIs, conducted rigorous testing using Postman and Soap UI, and enhanced CRMnext mobile responsiveness with
Bootstrap for 5,000+ mobile users.
</li>
<li>
Led the management of the MySQL database and optimization of procedures.
</li>
</ul>
</div>
<br>
<div class="Job"><span class="far fa-hand-point-right"></span>
<a href="https://c-bia.com/">Software Engineer Intern @ C-BIA Solutions</a>
</div>
Expand All @@ -108,61 +134,63 @@ <h2>Things I've built</h2>
<div class="List" id="WorkList">
<div class="Job"><span class="far fa-hand-point-right"></span>
<a
href="https://github.com/sohmpatil/NPID-UI">National Police Incident Dashboard <i> | React.js, Python, Apache Jena Fuseki, Sparql </i></a>
href="https://github.com/sohmpatil/NPID-UI">National Police Incident Dashboard </a>
</div>
<div class="Job_Desc">
<ul>
<li>
Implemented a full stack web application with a 99.9% uptime on Amazon EC2, ensuring continuous accessibility for users.
Integrated Flask API for seamless data flow, expanding application capabilities
Created a user-friendly National Police Incident Database (NPID) full stack application using semantic web engineering.
</li>
<li>
Led data preprocessing with pandas, analyzing a 1900+ police incidents dataset. Generated 42,000+ triples, showcasing advanced
RDF data management. Developed an ontology-based system for optimized data organization and query efficiency
Deployed on Amazon EC2 with a 99.9% uptime, ensuring continuous accessibility. Integrated Flask API for seamless data flow,
expanding application capabilities.
</li>
<li>
Accomplished a responsive user interface, reducing page load times by 99% through ReactJS optimization
Preprocessed data with pandas, analyzing a 1900+ police incidents dataset, generating 42,000+ triples. Built an ontology-based
system for optimized data organization and query efficiency.
</li>
</ul>
</div>
<br>
<div class="Job"><span class="far fa-hand-point-right"></span>
<a
href="https://play.unity.com/mg/other/manpac-build-webgl">PACMAN 3D <i> | Unity, C# </i></a>
href="https://play.unity.com/mg/other/manpac-build-webgl">PACMAN 3D </a>
</div>
<div class="Job_Desc">
<ul>
<li>
Synthesized gaming experience with immersive audio and visual elements, and smooth camera transitions, resulting in a significant
25% increase in user satisfaction and a 15% boost in player engagement
Synthesized gaming experience with immersive audio and visual elements, and smooth camera transitions, resulting in a
significant 25% increase in user satisfaction and a 15% boost in player engagement.
</li>
<li>
Pioneered responsive player controls and refined enemy AI, contributing to a 35% improvement in overall user experience
Pioneered responsive player controls and refined enemy AI, contributing to a 35% improvement in overall user experience.
</li>
<li>
Solved intricate technical challenges through methodical debugging, accomplishing a substantial 40% decrease in critical bugs
Overcame intricate technical challenges through methodical debugging, accomplishing a 40% decrease in critical bugs.
</li>
</ul>
</div>
<br>
<div class="Job"><span class="far fa-hand-point-right"></span>
Face Recognition and detection system <i> | python </i>
Face Recognition and detection system
</div>
<div class="Job_Desc">
<ul>
<li>
Built an advanced face detection and recognition system using OpenCV library and SVM (Support Vector Machine) algorithm
Built an advanced face detection and recognition system using OpenCV library and SVM (Support Vector Machine) algorithm.
</li>
<li>
Utilized advanced feature extraction algorithms to identify crucial facial components (eyes, ears, nose, and mouth).
</li>
<li>
Extracted key facial features(eyes, nose, and mouth) utilizing a feature extraction algorithm and delivered a precision of 91% by
training an SVM classifier on extracted facial features to perform face recognition
Attained 91% precision by training an SVM classifier on extracted features for precise face recognition
</li>
</ul>
</div>
<br>
<div class="Job"><span class="far fa-hand-point-right"></span>
<a
href="https://thesai.org/Publications/ViewPaper?Volume=11&Issue=6&Code=IJACSA&SerialNo=84">Paracom <i> | Kotlin, Node-Red, Raspberry Pi, Arduino </i></a>
href="https://thesai.org/Publications/ViewPaper?Volume=11&Issue=6&Code=IJACSA&SerialNo=84">Paracom </a>
</div>
<div class="Job_Desc">
<ul>
Expand Down

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