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"Advised the Assistant Director on a project to estimate heavy vehicle integrity using LiDAR and GPS sensors, selected as the sole contributor out of 20+ interns.",
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"Designed and developed a Python desktop application to reverse-engineer RS232 serial ports, decoding 1.5M+ bytes/sec from LiDAR sensors and applying 25+ custom algorithms for rut measurement analysis and visualization.",
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"Published a Windows desktop application with 20K+ lines of code optimized to remain under 30MB, ensuring portability and performance in resource-constrained environments."
"Led a team of 5 interns to automate workflows across 25+ industrial plants, delivering 5 Python-based projects with 75K+ lines of code, deployed using Docker and orchestrated with Kubernetes.",
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"Engineered scalable backend systems processing 100K+ API requests/day and 2.5M+ rows/sec, ensuring fault-tolerance with Cassandra replication, Kafka partitioning, and caching with Redis.",
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"Optimized infrastructure by implementing Kubernetes orchestration, distributed CRON jobs, and caching layers, reducing API response times by 25% and monitored system health with Prometheus."
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]
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},
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{
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company: "Freelancer / Contract Jobs",
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title: "Full Stack / AI Developer",
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period: "January 2022 - June 2022",
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location: "Chennai, India",
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techStack: ["Linux","C","C++","Python"],
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responsibilities: [
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"Developed full-stack applications for 3 US clients, including a web scraping toolkit, CRM dashboard, sentiment analysis on consumer data, e-commerce platform, and a chat-based ticketing system with an automated refund approval microservice integrated with a payment gateway.",
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"Deployed all projects on DigitalOcean Droplets (VPS), consistently completing them 1 week ahead of deadlines and achieving 100% client satisfaction."
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]
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},
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{
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company: "Universidad De Ibague",
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title: "Technical Intern (Data Science)",
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period: "July 2020 - October 2020",
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location: "Ibague, Colombia",
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techStack: ["Java","C++","Python"],
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responsibilities: [
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"Assisted 100+ students in understanding complex data structures and algorithms, leading weekly lab sessions and grading assignments and exams",
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"Conducted 1-on-1 tutoring sessions for students struggling with concepts, resulting in a 20% increase in average quiz scores"
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]
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},
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{
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company: "Shiva Systems and Technologies Pvt Ltd",
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title: "Software Engineering Intern",
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period: "May 2020 - June 2020",
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location: "Mumbai, India",
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techStack: ["Linux","C","C++","Python"],
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responsibilities: [
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"Guided 50+ students in understanding the core concepts of operating systems, conducting weekly lab sessions and grading assignments and exams",
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"Hosted 1-on-1 tutoring sessions for students facing difficulties in understanding system calls and process management, resulting in a 15% increase in average quiz scores"
title: 'Performance Optimization and Analysis of Disk I/O in a Real Linux Environment',
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description: 'Achieved a 500% enhancement in cached reads and a 150% boost in non-cached reads, elevating read speeds from the local setup of 2500 MiB/s to 15000 MiB/s on a block size of 65536 bytes.',
"Designed Python/SQL ETL pipelines with Apache Airflow, boosting data ingestion speed by 30% and ensuring reliability with automated validation",
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"Built RESTful APIs using Flask and joblib to deploy machine learning models, improving real-time phone price predictions and application responsiveness by 25%",
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"Deployed a Regression model, enhancing price prediction accuracy by 15% through advanced feature engineering and hyperparameter tuning"
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]
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},
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{
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company: "Defence Research & Development Organisation (Govt. of India)",
"Advised the Assistant Director of the Lab as the sole selected intern from a team of 20+, leading a project on heavy vehicle integrity estimation using LIDAR and GPS sensors",
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"Architected and published a Python desktop application under 30MB to reverse engineer RS232 serial ports, decoding 1.5M+ bytes/second from LiDAR sensors and applying 25+ algorithms to analyze and visualize rut measurements"
"Led a team of 5 interns to automate manual tasks across 25+ industrial plants, introducing 5 Python-based projects and deploying 75,000+ lines of production code",
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"Optimized systems with 5 cross-functional teams to handle 100,000+ API requests across 20 endpoints, executing CRON operations on 2.5M rows/day within 1 sec using Cassandra, Kafka, and Postgres"
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]
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},
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{
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company: "Universidad De Ibague",
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title: "Technical Intern (Data Science)",
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period: "July 2020 - October 2020",
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location: "Ibague, Colombia",
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techStack: ["Java","C++","Python"],
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responsibilities: [
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"Assisted 100+ students in understanding complex data structures and algorithms, leading weekly lab sessions and grading assignments and exams",
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"Conducted 1-on-1 tutoring sessions for students struggling with concepts, resulting in a 20% increase in average quiz scores"
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]
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},
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{
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company: "Shiva Systems and Technologies Pvt Ltd",
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title: "Software Engineering Intern",
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period: "May 2020 - June 2020",
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location: "Mumbai, India",
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techStack: ["Linux","C","C++","Python"],
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responsibilities: [
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"Guided 50+ students in understanding the core concepts of operating systems, conducting weekly lab sessions and grading assignments and exams",
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"Hosted 1-on-1 tutoring sessions for students facing difficulties in understanding system calls and process management, resulting in a 15% increase in average quiz scores"
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],
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},
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{
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company: "Freelancer / Contract Jobs",
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title: "Full Stack AI Developer",
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period: "January 2021 - June 2021",
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location: "Chennai, India",
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techStack: ["Linux","C","C++","Python"],
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responsibilities: [
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"Guided 50+ students in understanding the core concepts of operating systems, conducting weekly lab sessions and grading assignments and exams",
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"Hosted 1-on-1 tutoring sessions for students facing difficulties in understanding system calls and process management, resulting in a 15% increase in average"
@@ -379,26 +168,30 @@ export default function HomePage() {
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</div>
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<divclassName="md:w-2/3">
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<pclassName="mb-4">
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Hi, I'm Reet Nandy, a Software + AI Engineer with <strong>3 years</strong> of in-depth internship experience specializing in <spanclassName="highlight">Full Stack Development</span>, <spanclassName="highlight">Cloud/DevOps infrastructure</span>, and <spanclassName="highlight">AI/ML solutions</span>. <br/>My expertise revolves around building scalable backend systems, optimizing performance, and deploying advanced AI models to enhance innovation and efficiency. I am committed to leveraging distributed systems to advance scalability and integrate cutting-edge technologies.
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Hi, I'm Reet Nandy, a Software + AI Engineer with <strong>3 years</strong> of experience across 6 internships specializing in <spanclassName="highlight">Full Stack Development</span>, <spanclassName="highlight">Cloud/DevOps infrastructure</span>, and <spanclassName="highlight">AI/ML solutions</span>. My expertise revolves around building scalable, cloud-native applications within distributed systems, optimizing performance, and developing and deploying AI models.
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<br/><br/>
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<strong>In the realm of AI</strong>, I specialize in developing and deploying models from traditional machine learning techniques to <spanclassName="highlight">Large Language Models (LLMs)</span>, with a focus on building intelligent systems and optimizing end-to-end workflows.
<li>Currently working on LLMs and RAG, focusing on multi-agent orchestration and advanced model pipelines.</li>
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<li>Expertise in systems programming with C++, and backend development using Python (Django, Flask, FastAPI), Java (Spring Boot), and Node.js.</li>
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<li>Strong front-end skills with React, Next.js and Tailwind CSS.</li>
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<li>Skilled in Relational, NoSQL, and caching technologies, along with vector databases.</li>
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<li>Proficient in AWS with experience in containerization, orchestration, CI/CD pipelines, and implementing robust monitoring and alerting systems.</li>
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{/* <li>Advocate for clean code and best practices in software development</li> */}
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