Hello Everybody, i am
ABHISHEK BHAVE
Software Engineer 3
Juniper Networks
Looking for interesting opportunities in the field of Software Development and Machine Learning.
Looking for interesting opportunities in the field of Software Development and Machine Learning.
Passionate and results-oriented Software Engineer at Juniper Networks with a Master's degree in Computer Science and a proven track record in designing and developing high-performance software solutions. Proficient in a diverse range of programming languages including Python, C/C++, Java, Node.js, React, and JavaScript, databases such as MySQL, Mongo DB, Oracle Database, and cloud technologies S3, RDS, EC2, Lambda, CloudFormation, Elastic Beanstalk, AutoScaling, CloudWatch. Specializing in crafting innovative solutions, optimizing system performance, and streamlining development processes. Additionally, I possess a keen interest and expertise in advanced machine learning and Generative AI , leveraging advanced techniques to create intelligent and creative solutions like Intelligent Recommendation Systems, Artistic Image Generation using GANs, etc. With a history of successful projects leadership, I am eager to contribute my skills to dynamic and challenging endeavors, overcoming challenges and making meaningful contributions to the world of software development.
March 2020 - present
Software Engineer 3
Sunnyvale, CA
Feb 2020 - Apr 2020
Software Engineer
Santa Clara, CA
Jun 2019 - Dec 2019
Software Engineer Intern
Buffalo, NY
Aug 2018 - Feb 2020
UNIVERSITY AT BUFFALO
STATE UNIVERSITY OF NEW YORK
Buffalo, NY
Aug 2014 - Jun 2018
UNIVERSITY OF MUMBAI
Mumbai, India
Implemented Amazon's Dynamo DB with features such as partitioning, replication and failure handling with goal to ensure availability and linearizability. The implementation performs concurrent read and writes to the system even under failures.At the same time, reads return the most recent writes.
MERN stack application that enables users to manage and analyze options trades. Provides a user-friendly and intuituve UI with React.js. Designed a scalable API middleware with error handling and input validation using Node.js, Express.js, MongoDB. Deployed the system on AWS with an Auto scaled EC2 cluster and Load Balancer
Full Stack Instagram Clone Application using React, Chakra UI, Firebase Auth, Storage and Firestore Database. Application enables users to create profiles, add posts, see followers post and like and comment on pictures.
Developed a conditional adversarial network system employing GANs and cGANs. Goal was to create a model capable of image-to-image translation by learning a structured loss function and simultaneously training a generative model to minimize the loss using Python and deep learning libraries such as TensorFlow and Keras.
gRPC client and server in Python using a proto file This project defines a gRPC Greet Service using Protocol Buffers (proto3). Supports Unary, Server and Client Streaming as well as Bidorectional Streaming.
A responsive and interactive web application component that leverages JavaScript to enable real-time updates and seamless user interactions for managing and displaying items in an online shopping cart.
Utilizes distributed computing frameworks like Hadoop to process and analyze large volumes of textual data, extracting valuable insights, patterns, and information from unstructured text sources.
A combination of diverse classification algorithms to collectively and accurately predict and categorize digits in digital images, leveraging the strengths of multiple classifiers to enhance overall accuracy and robustness in the recognition process.
Development and implementation of strategies, algorithms, to identify and mitigate the dissemination of misinformation or fake news within the WhatsApp messaging platform, aiming to enhance information integrity and combat the spread of false or misleading content.
Integrates tailored assessments and educational content within an engaging game-based framework, enhancing individualized learning experiences and promoting active participation in the educational process.
Designed Chord based DHT in Android platform ,which is commonly used in BitTorrent, using SHA-1 as hashing function. Implemented ID Space Partitioning/ Repartitioning , Ring based Routing and Node Joins in the content provider of the app instance
Proven track record in designing and optimizing high-performance software while demonstrating proficiency in leading development projects, implementing efficient data processing solutions, and contributing to the success of dynamic teams. Seeking challenging opportunities in software engineering and machine learning to leverage my extensive skills and eager to contribute my expertise in designing and optimizing high-performance systems, building scalable applications, and collaborating with cross-functional teams to drive innovative solutions. Committed to continuous learning of new technologies to deliver cutting-edge software solutions in a dynamic and collaborative work environment.
Python, C/C++, Java, Javascript, Typescript, HTML/CSS, SQL, Tensorflow, keras
Node.js, Express.js, React.js, Next.js, React Native, GraphQL, Angular, Django
Neural Networks, CNNs, RNNs, LSTM, GRU, LLMs, GANs, Supervised, Unsupervised
MySQL, Mongo DB, MS SQL Server, SQLite, MongoDB, PostrgreSQL, Redis
Git, Github, RPC, gRPC, ZeroMQ, Apache Kafka, Airflow, Apache Spark, Jenkins, JUnit, Docker, Kubernetes, Linux, Ubuntu
Frontend, Backend, Full Stack, Distributed Systems, Agile, Messaging Protocols, Unit Testing, Micro-services, CI/CD, SCRUM, Kanban, DevOps