About

I am a dedicated software engineer and graduate student. With a strong academic background from UC San Diego and the University of Massachusetts Amherst, I specialize in LLM Security , Machine Learning, NLP and full-stack development. I am passionate about creating robust applications that drive real-world results and am excited to expand my professional network—I'll be joining LinkedIn this summer to connect with industry peers.

Education

UC San Diego
MS in Computer Science, Expected May 2026

University of Massachusetts Amherst
BS in Computer Science, May 2024 | GPA: 4.0

Experience

Amazon - Software Engineering Intern
June 2023 - Aug 2023
  • Developed scalable model designs for profit calculations supporting 150k TPS.
  • Built an auditing data pipeline with Kinesis Firehose, S3, and Glue ETL, reducing latency by 20%.
  • Optimized data transformation pipelines for large-scale ingestion using native AWS services.

Astren Empower Co - Software Engineering Intern
June 2022 - July 2022
  • Designed a website dashboard using React and CSS styled-components.
  • Implemented user login and signup features using Google Next-Auth.
  • Integrated MongoDB and DynamoDB for effective data management.

UMASS Amherst - Head Teaching Assistant
Feb 2022 - May 2024
  • Created exams and assignments for a class of over 200 students.
  • Developed autograders and provided extensive student support during office hours.

UMASS Amherst - Undergraduate Research Assistant
June 2021 - Aug 2021
  • Implemented Cuckoo Filters using Python and reduced false positives by 20% with a Random Forest classifier.
  • Tested and fine-tuned filters on 15+ datasets, achieving a 30% accuracy improvement.

Projects

LSTM Stock Price Predictor
TensorFlow, PyTorch, yFinance, ta, pandas, numpy
  • Developed an LSTM model achieving 93% validation accuracy for stock price predictions.
  • Integrated multiple technical indicators with custom preprocessing pipelines.

Encoder-Decoder Transformer for Sequence Prediction
TensorFlow, PyTorch, Python
  • Designed an encoder-decoder architecture enhancing context representation with attention mechanisms.
  • Optimized model performance for complex sequence prediction tasks.

Trading Bot
Node.js, Svelte, Express, MongoDB, Docker
  • Developed a trading bot using the Kraken API for high-frequency trading.
  • Implemented moving average strategies, achieving a 10% increase in profitability.

Skills

Languages: Java, Python, C/C++, JavaScript, SQL, HTML/CSS, MATLAB
Frameworks: React, Node.js, Next.js, Tailwind CSS, Google Guice
Developer Tools: Git, Github, Firebase, GCP, AWS, EC2, SQS, CloudFormation, Docker, Kubernetes, CI/CD
Libraries: Pandas, NumPy, Matplotlib, Pyspark, PyTorch, Keras, Django
Miscellaneous: TCP/IP, Sockets, ARP

Contact

Email: nikhilgautam883@gmail.com
Phone: 857-287-9429
LinkedIn: linkedin.com/in/nikhil-gautam222
GitHub: github.com/ngautam222