Arizona State University, Tempe, Arizona

Master’s of Science & Engineering
Software Engineering
Aug. 2018 – May 2020

Guru Gobind Singh Indraprastha University, Delhi, India

Bachelor's of Technology
Computer Science
Aug. 2014 – June 2017

Guru Nanak Dev Institute of Technology, Delhi, India

Associate Degree
Electronics & Communications Engineering
Aug. 2011 – May 2014

• Cloudera Certified Associate Spark and Hadoop Developer (CCA-175)
• PythonInstitute Certified Associate in Python Language (PCAP-31-02)
• Oracle Certified Associate in Database SQL (1Z0-071)
• Google Associate Cloud Engineer

Udemy Certificates

• Data Warehouse - The Ultimate Guide
• Software Architecture & Design of Modern Large Scale Systems
• Micronaut - cloud native microservices with Java
• GCP Associate Cloud Engineer - Google Cloud Certification
• Spark and Hadoop Developer - Python (PySpark)
• Spark and Python for Big Data with PySpark
• REST APIs with Flask and Python
• Advanced REST APIs with Flask and Python
• GCP: Complete Google Data Engineer & Cloud Architect Guide
• Oracle SQL Developer From Scratch

• Programming Languages: Python, Java, Bash, C/C++, SSML
• Database: MySQL (SQLAlchemy), MongoDB (NoSQL) (MongoAlchemy), Redis, SQLite, Hive, Impala
• Back-end: RESTful API (Micronaut, Flask), Apache Kafka, JWT (Tokens & Sessions for Security), uWSGI
• GCP Services: GKE, Compute Engine, Load Balancing, Cloud Storage, Firestore, Cloud Build, Apigee, Deployment Manager
• AWS Services: EKS, EC2, ELB, S3, DynamoDB, RDS, AWS CodeBuild, API Gateway, AWS CloudFormation
• Big Data: Spark Streaming, Hadoop HDFS, Spark RDD & Data Frames APIs, Data Analysis, Sqoop, Apache Flume
• Misc: GitLab CI/CD, Docker, Kubernetes, Gradle, OAuth, SAML, Scikit-Learn
• Tools: Jmeter, Jira, Lucidchart, Swagger, Prometheus, Grafana, Agile with SCRUM, SDLC

LivePerson, Inc: Software Development Engineer

Jun. 2023 - Present (Toronto, ON, CA) | Jan. 2022 – Jun. 2023 (NYU, USA)

Architectural Expertise:

• Developed a strategy to rebuild the connector service for seamless communication for internal services with conversational AI.
  • Implemented optimized data processing by leveraging Redis for fast lookups of brand configurations.
  • Results: A remarkable 40% reduction in data event size, subsequently leading to a 35% decrease in latency.
  • Technologies Utilized: Redis for caching, Java for backend logic, GCP (Google Cloud Platform) for cloud infrastructure, and APIgee for API management.
• Optimized the VoiceCore key service to handle increasing concurrent calls efficiently.
  • Segregated the service into Text-to-Speech (TTS), Speech-To-Text (STT), and media microservices.
  • Implemented metrics for monitoring and alerting systems to detect and address issues proactively.
  • Results: Reduced system downtime by 25% and increased concurrent calls by 50%, scaling from 450 to 700 calls.
  • Technologies Utilized: Kafka for event streaming, Prometheus and Grafana for monitoring and alerting, GKE (Google Kubernetes Engine) for container orchestration, APIgee for API management, and GitLab CI/CD for continuous integration and deployment.
• Led the design and development of the Audio File Management service to streamline customized voice audio files.
  • Created a robust storage and lookup system for audio blobs and Azure client keys using Google Cloud Storage and Redis.
  • Integrated Azure Text-to-Speech, enabling voice samples & customized audio file generation via SSML in a multi-language model.
  • Results: Received positive feedback from stakeholders with a 25% boost in user engagement.
  • Technologies Utilized: Google Cloud Storage for storage solutions, Redis for fast data lookup, Azure Text-to-Speech for audio generation, SSML for voice customization, and Java for backend development.
• Proposed and implemented a new centralized event schema service to resolve schema inconsistencies across VoiceCore services.
  • Facilitated all Kafka events for publishing and subscribing, supporting schema evolution, maintaining consistency, and providing clear documentation and guidelines.
  • Results: Achieved 40% reduction in integration overhead and 25% improvement in debugging time.
  • Technologies Utilized: Apache Kafka for event streaming, Java for backend development, GitLab CI/CD for continuous integration and deployment, and Swagger for API documentation.
• Designed and developed APIs for establishing SIP connections (IP, FQDN, and Credentials) using Telnyx SDKs, Java, and the Micronaut Framework. Integrated Kafka for event streaming to ensure real-time SIP connections.
  • Results: Conducted feedback analysis, resulting in a documented 20% increase in customer satisfaction.
  • Technologies Utilized: Telnyx SDKs for SIP connections, Java and the Micronaut Framework for API development, Apache Kafka for event streaming, and Junit for testing.

Development Expertise:

• Optimized utility libraries, leading to a 22% enhancement in code efficiency across VoiceCore's internal services, fostering consistent and standardized code practices while leveraging technologies such as Redis, Log4j, GCP Buckets, Firestore.
• Enhanced microservices pods by implementing automated backups of thread dumps and heap dumps to GCP buckets in the event of Out-of-Memory (OOM) incidents. This proactive measure resulted in at least a 25% reduction in debugging time.
• Developed bash scripts to secure transaction logs from pods, reducing on-call debugging time by 3-4 hours weekly for developers.
• Enhanced data security in production by concealing NPIs, Auths, and tokens in GCP Logs Explorer logs and Kubernetes pods.
• Boosted test coverage, in multiple microservices using Junit and Jmeter, from 36% to 87%, cutting testing costs by 20%.
• Initiated and developed a new Inbound call automation bot, collaborating with external teams for E2E testing. Provided knowledge transfer after creating the initial POC for a seamless transition, resulting in reduced debugging time for on-call production.

Software Engineer at Black Knight, Inc., Philadelphia, PA, USA

June 2020 – Jan 2022

• Worked in the AIVA (Artificial Intelligence Virtual Assistant) team to re-architect and develop APIs for Input & output handler Services.
• Developed APIs for managing multiple customer environments using AWS services; API Gateway, Lambda, S3, DynamoDB, and SSM.
• Implemented Microservices to extract data from OCR-generated content, creating multiple data points.
• Led the development of new, resilient services and orchestrated stacks from the ground up using Python, CloudFormation, and S3.
• Effectively addressed provisioning and build failures, leading to decreased testing load times and reduced AWS costs.
• Developed Python scripts using Boto3 to address rare anomalies in transactions caused by code defects or AWS outages.
• Enhanced microservices tests by 70% by creating acceptance and integration tests using Pytest, Junit, Python Behave, and Java Cucumber.

Research Scholar at Bharati Vidyapeeth's College of Engineering in CSE Department under Dr. Rachna Jain
Jan. 2017 – Sept. 2017

Enhance data security in cloud using Steganography

• Studied about Cloud Service Providers vs Internet Service Providers based on cost, speed, scalability, performance, etc.
• Reviewed techniques of steganography (Least-Significant-Bits) & digital watermarking (Discrete Fourier Transform) in spatial & frequency domain.
• In-depth study on Symmetric Key Encryption (DES, AES) & Asymmetric Key Encryption (RSA) major attacks like brute force, frequency analysis.
• Proposed the model for Image Steganography using LSB, which mapped every bit of data & encryption key in RGB pixels of the image.



Medical application using NLP over cloud

• Knowledge acquisition on NLP system and existing open source libraries (NLTK, Polyglot, Pattern) in the market.
• Studied about Morphological Processing, Syntax, Semantic and Pragmatic Analysis.
• Comparative study on 3 different types of clouds (public, private and hybrid) based on reliability, cost, scalability, etc.
• Proposed a computerized Clinical Decision Support (CDS) System using cloud services to improve the accuracy & the availability.

Consulting & Software Internship at TATA - Computer Management Corp, Delhi, India
May 2016 – Aug. 2016

• Responsible for full stack API-driven web application, Increased sales of products by 45% & reduced data storage inventory by 38%.
• Implemented Agile process across the teams, improved customer interaction and feedbacks on sprints.
• Developed RESTful-APIs using Python with flask framework, with JWT Session Management for user security.
• Performed ETL on old database, to get new & optimized Data, improved performance w.r.t. to time, by 30% in each query.
• Interacted with the DB using MongoDB Alchemy (NoSQL), which improved the flexibility & provided Object-Oriented Structure to DB.

Android App Development Trainee at Bharati Vidyapeeth's College of Engineering, Delhi, India
May 2015 – Jul. 2015

• Developed a Video player using Android studio that will access video files from the storage in List or Grid View.
• Users can play, organize and use hand gestures to control the flow of the video.
• Worked in App. UI, deep functionality and Third-Party SDK (like Android Studio).
• Gained experience in Java and Android Studio.