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Neelesh Karthikeyan
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AWS‑certified Software/Data Engineer (3+ years). Ex‑Tesla. I build edge‑to‑cloud AI systems, scalable data platforms, and full‑stack apps used by researchers and engineers. Pursuing an MS in Data Science at Indiana University; seeking new‑grad roles starting May 2025.

Projects

Honors

  • Awarded $80,000 tuition remission with less than 1% acceptance rate for research contributions at Indiana University.
  • Co-authored the award-winning paper, ML Field Planner with TAPIS, accepted at the Gateways 2025 Conference.

Certifications

AWS Certified Data Engineer - Associate
Confluent Kafka Certified
Neo4j Certified Pro

Education

Indiana University Bloomington

Master’s Degree, Computational Data Science — GPA: 3.9 / 4

Aug 2023 - May 2025 • Bloomington, Indiana

Coursework: Data Structures, Algorithms, Networking, Distributed Systems, Cloud Computing, Concurrency

College of Engineering Guindy, Anna University

Bachelor’s Degree, Engineering — GPA: 3.7 / 4

Aug 2017 - May 2021 • Chennai, India

Experience

Indiana University — Software Engineer

Jan 2024 - Present • Bloomington, Indiana

  • Engineered edge-to-cloud pipelines in $20M NSF-project with Kafka and Java for AI inference monitoring.
  • Released an open-source Python SDK for AI model documentation with fairness and explainability metrics.
  • Deployed full-stack web applications used by 20+ researchers to interact with containerized databases on Kubernetes.
  • Designed data models and ingested real-time streaming data from 100+ edge devices into PostgreSQL and Neo4j.
  • Devised RESTful APIs with JWT authentication for model repository access and database services using Golang.
  • Optimized API request round-trip time by 21% via A/B testing across protocols and Python web frameworks.
  • Developed MLOps framework for PyTorch/TensorFlow model lifecycle management with HuggingFace integration.

Tesla — Data Engineer Intern

May 2024 - Aug 2024 • Palo Alto, California

  • Deployed full-stack applications used by 5+ internal teams to analyze big datasets or detect issues using JavaScript.
  • Created internal Python libraries with APIs for engineers to render custom data visualizations using SQL and Spark.
  • Engineered scalable data processing for Parquet files with 1M+ rows using SQLAlchemy and Airflow.
  • Developed custom PySpark transformations to process telemetry data with 50 TB daily ingestion rate.
  • Streamlined service workflows by 15% with a Text-to-SQL chatbot using LLaMA and prompt engineering.

Gyan Data — Software Engineer II

May 2021 - Jul 2023 • Chennai, India

  • Hosted 8+ GraphQL microservices on AWS for automobile sensor data access using TypeScript (Client: Toyota).
  • Decoupled systems using AWS Elastic Beanstalk, SQS, Celery and managed S3 bucket policies using Terraform.
  • Migrated 7+ retailers’ sales data from SAS, SAP, on-prem SQL servers to Amazon Redshift (Client: Kellogg’s).
  • Designed Python tools to identify the critical 30% of airbag tests and optimized crash prototypes (Client: Ford).
  • Developed Docker-based microservices for a federated learning POC; secured deployed approval (Client: Tvarit).
Python
SQL
Go
R
C++
Java
JavaScript
TypeScript
Bash
React
Express
Node.js
Snowflake
Databricks
MongoDB
DynamoDB
Redis
Neo4j
BigQuery
Kafka
RabbitMQ
Hadoop
Spark
Kubernetes
GRPC

Projects

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Prompt Engineering Test Harness (Code)
React.js, PostgreSQL, Nginx, FastAPI, Redis, OpenAI API, CI/CD

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Autonomous AI Agent System for Trading Insights (Code)
LangChain Model Context Protocol, Llama, Python

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Streaming Data Pipeline for Weather Analytics (Code)
Kafka, Spark, MySQL, Airflow, Snowflake, dbt, Docker

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