**Ganesh Shivakumar**
Seattle, WA
(617) 858-9129
ganesh2507.shivakumar@gmail.com

LinkedIn | LeetCode | GitHub | Portfolio
Open to Relocate

### SUMMARY
Experienced Software Developer (Python) with 5 years of expertise in building large-scale, high-performance distributed systems and e-commerce search. Proficient in Java, Python, and GoLang with deep knowledge in Machine Learning, SQL/NoSQL databases, Big Data processing, and cloud technologies (AWS/Azure). Skilled in DevOps practices. Specialize in Search & Recommendation Systems, Personalization, LLMs, and Generative AI.

**Key Achievements:**
- Played a pivotal role in a startup's journey from inception to ~$100M acquisition.
- Held significant positions at Amazon and Amazon Robotics, collaborating with dynamic teams at Microsoft.
- Led the development of ML pipelines and LLMs at Google for Developers.

### PROFESSIONAL CERTIFICATIONS & ACHIEVEMENTS
- Featured on the "Employee Spotlight" for leading an engineering team of 10 to create tools for catalog extraction and indexing.
- Received "GoGetter & Challenger" recognitions for persistence and problem-solving ability.
- Awarded "Most Valuable Player" by Unbxd for teamwork and spearheading innovation.
- Headed Hack AI (Largest AI Hackathon) organized by the Artificial Intelligence Society at Northeastern University.

### SKILLS
**Languages:** Java, GoLang, Python, C, C++, R, JavaScript, ReactJS, NodeJS, NextJS, EmberJS, Bash, Redux
**Statistics:** Inferential Statistics, Experimental Design, Hypothesis Testing (A/B Testing)
**Big Data:** Hive, Hadoop, Scala, Spark, Sqoop, AirFlow, Cassandra, Kafka, Kinesis, Zookeeper, Grafana
**Databases:** SQL, NoSQL, MySQL, PostgreSQL, DynamoDB, MongoDB, Redis, RedShift, Neo4j, AeroSpike
**Cloud:** AWS (Lambda, Glue, Kryo, EC2, CloudWatch, S3, Redshift, EKS, IAM), Azure, GCP
**CI/CD:** Travis, GitHub Actions, Jenkins, Docker, Kubernetes, ELK, Prometheus, Flink
**Frameworks:** TensorFlow, Keras, Torch, Django, Gunicorn, Flask, NumPy, Pandas, Jupyter
**Search Frameworks:** Lucene, Apache Solr, Elastic Search
**Certifications:** Coursera Neural Networks and Deep Learning, Udemy Certified Kubernetes Administrator

### PROFESSIONAL EXPERIENCE

**Google for Developers (NEU Student Club)**
Boston, MA
*Software Developer (Python)* | Sep 2023 – Present
- Led the development of LLMs (BERT, GPT-2), multi-modal variational autoencoders (VAE) with convnets and transformers.
- Proficient in Python and adept in machine learning frameworks (TensorFlow, Keras, Torch, Scikit-Learn, PyTorch).
- Skilled in handling big data (Hadoop, Spark, Hive, Kafka) and SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB).
- Deployed models on GCP with advanced loss functions akin to beta-TCVAE, achieving a 30% boost in processing.

**Amazon.com, Inc**
Seattle, WA
*Software Development Engineer* | Jan 2023 – Sep 2023
- Reduced response time by 30% by changing pagination key serialization from string concatenation to Kryo.
- Optimized retrieval of quadrillions of bytes of data by redesigning pagination keys.
- Deployed critical API changes with zero downtime using Amazon Weblab.

**Amazon Robotics**
Boston, MA
*Software Development Engineer* | Jan 2023 – May 2023
- Pioneered a new data pipeline using Kinesis Data Firehose-SNS-Lambda for near real-time data sharing.
- Implemented in-memory snapshot solutions to reduce storage overhead and achieve 99% synchronization.

**Unbxd Inc. (A Netcore Company)**
Bengaluru, India
*Software Developer / MLOps / Machine Learning Engineer in Search* | Nov 2017 – Dec 2021
- Coded RESTful applications in GoLang for query processing, reducing network hops & API latency by 20%.
- Created an auto-scalable platform for catalog indexing using Argo workflow and Kubernetes.
- Authored RESTful Spring Boot applications in Java 11 for differential indexing, reducing system overload by 20%.
- Developed hybrid memory-based filtering recommender systems, enhancing MAP@5 by 140%.

### EDUCATION
**Northeastern University**
Boston, MA
*M.S. Computer Science (GPA: 4.0/4.0)* | Sep 2021 – May 2023
**Coursework:** Algorithms, Programming Design Paradigms, Database Management Systems, Machine Learning, Deep Learning, Large Language Models

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