Reet Nandy, M.S.

Software + AI Engineer

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I believe in solving problems at scale.
FullStack? AI? Core/Infra?
I'm in! I Learn. I Implement.
Know more About Me and My Skills.

Currently, looking for SDE/AI Spring '25 internship and May'25 full-time opportunities.

Prev, building Pricing Engine @ Stealth AI Startup, NYC.

reet.nandy@nyu.edu | +1 518-930-6116

GitHubLinkedInX/TwitterResume

LATEST* (Dec'24 onwards)

About Me

Reet Nandy

Hi, I'm Reet Nandy, a Software + AI Engineer with 3 years of experience across 6 internships specializing in Full Stack Development, Cloud/DevOps infrastructure, and AI/ML solutions. My expertise revolves around building scalable, cloud-native applications within distributed systems, optimizing performance, and developing and deploying AI models.

In the realm of AI, I specialize in working with traditional machine learning techniques to Large Language Models (LLMs), with a focus on building intelligent systems and optimizing end-to-end workflows.

  • Currently working on LLMs and RAG, focusing on multi-agent orchestration and advanced model pipelines.
  • Expertise in systems programming with C++, and backend development using Python (Django, Flask, FastAPI), Java (Spring Boot), and Node.js.
  • Strong front-end skills with Next.js, React.js, and Tailwind CSS.
  • Skilled in Relational, NoSQL, and caching technologies, along with vector databases.
  • Proficient in AWS with experience in containerization, orchestration, CI/CD pipelines, and implementing robust monitoring and alerting systems.

Education

  • M.S. in Computer Science, New York University (Expected May 2025)
  • B.Tech in Computer Science and Engineering, Manipal University Jaipur

Key Courses: Analysis of Algorithms, Operating Systems, Machine Learning, Cloud Computing, Big Data

Teaching Assistant: Algorithms (Fall 2024, Spring 2025), Operating Systems (Fall 2024)


If not a Coder, I would probably be a CHEF. I love cooking and I am great at it :)

View My Resume (PDF)

Skills

Languages

PythonC/C++JavaSQLJS/TSHTML/CSS

Backend

Django/Flask/FastAPINode.jsSpring BootServerlessREST APIGraphQL

Frontend

React.jsNext.jsTailwind CSSPyQTJava SwingFlutter

Database

PostgreSQLMongoDBRedisPineconeElasticsearchDynamoDBCassandra

DevOps/Cloud

AWSDockerKubernetesCI/CDJenkinsAirflowPrometheusKafka

AI/ML

Scikit-learnTensorFlowPyTorchMLFlowLLMsRAGVectorDB

Experience

Stealth AI Startup


Backend Developer Intern (AI)

June 2024 - December 2024

New York City, USA

Tech Stack:

PythonSQLApache AirflowFlask

Key Responsibilities:

  • Developed a Django-ReactJS platform integrating ML models, delivering real-time predictions with sub-1 second latency through optimized APIs.
  • Implemented regression models for custom price prediction over a 90-day horizon, leveraging TimeSeriesSplit and hyperparameter optimization to reduce errors within +/- 5%.
  • Engineered ETL pipelines with Apache Airflow, processing 15M+ records daily and automating transformations, saving 3 man hours per dataset.
  • Optimized PostgreSQL queries to support frequent API calls and large-scale workflows, improving data retrieval efficiency.

Defence Research & Development Organisation (Govt. of India)


Software Engineering Intern (R&D)

January 2023 - June 2023

Chandigarh, India

Tech Stack:

PythonShellPyQTMatPlotLibSerialPySQLDocker

Key Responsibilities:

  • 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.
  • 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.
  • Published a Windows desktop application with 20K+ lines of code optimized to remain under 30MB, ensuring portability and performance in resource-constrained environments.

Solar Industries India Ltd


Software Engineering Intern (Backend)

April 2022 - December 2022

Mumbai, India

Tech Stack:

DjangoFastAPIAWSDockerJenkinsKafkaRedisElasticsearch

Key Responsibilities:

  • 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.
  • 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.
  • Optimized infrastructure by implementing Kubernetes orchestration, distributed CRON jobs, and caching layers, reducing API response times by 25% and monitored system health with Prometheus.

Showing 3 of 6 internships

Projects

GrantGenie: AI Agent for Web3 Global Fund Matching

  • Developed a Python backend using FastAPI, PostgreSQL, and Redis, enabling efficient API-driven grant discovery and data retrieval pipelines.
  • Built AI-driven grant matching with LangChain, OpenAI APIs, and Pinecone, leveraging LLMs and vector search for multilingual NLP, RAG-based personalized recommendations, and automated grant application drafting.
  • Integrated Web3 features with web3.py, Ethereum testnets, and IPFS, enabling wallet authentication, smart contract-based grant tracking, and decentralized metadata storage.
FastAPIPostgreSQLRedisLangChainOpenAI APIPineconeweb3.pyIPFS

AI-Fitness Analytics Dashboard (AWS)

  • Architected a scalable health tracking platform leveraging AWS services including SageMaker (KNN model), Lambda, SQS, SNS, RDS, DynamoDB, and S3, enabling real-time insights and personalized exercise recommendations.
  • Developed an ETL pipeline to synchronize health metrics from Google Fit API into DynamoDB and RDS, integrating microservices for data processing, storage, and ML-driven predictions.
  • Ensured secure and reliable operations with AWS Cognito for authentication, CloudWatch for monitoring, and IAM for access control, alongside encrypted data at rest and in transit.
DjangoReactJsLambdaDynamoDBBeanstalkSagemakerSNSSQS

Flowcontrol: Simplifying Complex Shell Workflows

  • Developed a C++ framework to streamline command-line workflows, enabling developers to easily automate tasks like piping (|), redirections (>), and multi-command execution (;) with robust error handling (2>&1).
  • Implemented a .flow file parser to simplify the creation and execution of complex command sequences, reducing manual effort and providing an intuitive way to manage shell operations efficiently.
C++Unix Systems ProgrammingShell

KubeControl: Cloud-Native Monitoring and Alerting Solution

  • Designed and deployed a scalable Flask-MongoDB application using Docker and Kubernetes, with advanced features like rolling updates, replication, and health probes for robust orchestration.
  • Implemented real-time monitoring and alerting by integrating Prometheus and Slack, enabling proactive issue resolution in both local (Minikube) and cloud (AWS EKS) environments.
  • Leveraged AWS services, including EKS for orchestration and S3 for storage, ensuring production-grade deployments with seamless scalability and high availability.
FlaskMongoDBDockerKubernetes (Minikube, AWS EKS)PrometheusSlack APIAWS (EKS, S3, CloudWatch)

White board: Real-Time Collaborative Java Application

  • Designed and implemented a real-time collaborative whiteboard application, leveraging WebSockets for seamless, multi-user drawing updates and Java Swing for an intuitive GUI.
  • Optimized performance with batch processing, asynchronous communication, and thread-safe concurrency controls, ensuring low-latency updates and efficient handling of large-scale data.
JavaJava SwingSpring BootWebSocketsBatch Processing

Showing 5 of 12 projects

Resume

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