Summary
Overview
Work History
Education
Skills
Certification
Languages
Timeline
Generic

Aadhil Anvar

Basking Ridge,NJ

Summary

Adaptable and analytical with passion for solving complex problems through innovative machine learning solutions. Possesses solid understanding of algorithms and data structures, with hands-on experience in Python, LangGraph, CrewAI and TensorFlow. Committed to leveraging skills to drive impactful advancements in AI-driven decision-making.

Overview

1
1
year of professional experience
1
1
Certification

Work History

Machine-Learning Engineer

WINLAB Research Center
05.2024 - 09.2024
  • Developed ML techniques to optimize next-gen wireless links; integrated satellite transmitter-receiver with 5G FR3 band on ORBIT testbed.
  • Automated 5G-satellite experiments on the ORBIT testbed with Python/GNURadio scripts, enabling round-the-clock RF data capture for team researchers.
  • Trained a TensorFlow LSTM on NVIDIA A100 GPUs (tuned with Optuna & tracked in MLflow) of Amarel cluster of Rutgers to predict interference, reaching 91 % F1.

Teaching Assistant

Rutgers School of Engineering
02.2024 - 05.2024
  • Guided students in optimization techniques, evaluation and finetuning of LLMs; created tutorials & feedback improving project scores by 15 %.

Software Engineer / Cloud Developer

IBM (The Co-operative Bank UK)
06.2023 - 07.2023
  • Built and unit-tested Python Lambda functions that move loan-application data between S3 and DynamoDB, trimming manual entry time 25 %.
  • Assisted senior engineers in containerizing a payment microservice and deploying it on AWS ECS; set up the GitHub Actions pipeline for automated builds and smoke tests.
  • Prepared training data and monitoring scripts for a SageMaker fraud-scoring prototype; supported the first A/B test that flagged £300 K in risky payments.

Education

Master of Science - Electrical & Computer Engineering, Machine Learning

Rutgers University
New Brunswick, NJ
05.2025

Skills

  • Proficient in Python, Java, SQL, Bash, and TypeScript
  • Gen AI / LLM: PyTorch, TensorFlow, Hugging Face, LangChain & LangGraph, OpenAI & AWS Bedrock APIs, Prompt Engineering, RAG, LoRA/PEFT
  • ML / Data: SageMaker, MLflow, Optuna, scikit-learn, Apache Spark
  • Cloud / DevOps: AWS (Lambda, ECS, EKS, DynamoDB, S3, API Gateway, CloudWatch), Docker, Kubernetes, Prometheus, GitHub Actions, CI/CD
  • Vector / DB: ChromaDB, SQLite, PostgreSQL
  • Web & API FastAPI, Angular, Streamlit
  • Machine learning: Natural language processing, Feature engineering, Model development, Clustering algorithms
  • Reinforcement learning, Deep learning, Transfer learning

Certification

  • AWS Developer Associate (2024)
  • Databricks Spark 3.0 (2022)
  • Azure Data Engineer (2022)
  • IBM Big Data (2022)
  • Rutgers ML & Cybersecurity (2025)

Languages

English
Full Professional

Timeline

Machine-Learning Engineer

WINLAB Research Center
05.2024 - 09.2024

Teaching Assistant

Rutgers School of Engineering
02.2024 - 05.2024

Software Engineer / Cloud Developer

IBM (The Co-operative Bank UK)
06.2023 - 07.2023

Master of Science - Electrical & Computer Engineering, Machine Learning

Rutgers University

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