Shobhit Srivastava

Software Engineer

Hyderabad, Telangana, India4 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Artificial Intelligence and Conversational AI.
Proven track record in full stack development and optimization.
Strong background in machine learning and computer vision projects.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI and full-stack development.

Contact

Skills

Core Skills

Artificial IntelligenceConversational AiBack-end Web DevelopmentFull-stack DevelopmentSite Reliability EngineeringMachine Learning

Other Skills

API evaluation harnessAWSAlgorithmsAmazon Web Services (AWS)AngularAnsibleAvro schemasC & C++CommunicationComputer VisionData AnalysisData MiningData ScienceData StructuresDeep Learning

About

I am a Software Engineer. Currently, I am working on Artificial Intelligence and Conversational AI based product feature. Prior to this role, I worked as a Software Engineer at Optum on healthcare domain based products. Before that I was part of an IOT based firm as an SRE Intern where I worked on projects related to infrastructure upgrade and automation. I am a huge fan of OpenSource and in the future looking forward to make a lot of Open Source contributions and creating an impact in the open-source community as well. I believe that it is more important to focus on the process than on the outcomes. If the process is right the outcome is bound to be positive. I am a curious guy who just love technology. I believe that technology can make a lot of positive changes to how humans live. Want to know more about me?, then please drop a mail on : shobhitsrivastava18th@gmail.com Until then, have an amazing day!

Experience

4 yrs 9 mos

Total Experience

2 yrs 4 mos

Average Tenure

2 yrs 5 mos

Current Experience

Liveperson

Software Engineer

Jan 2024 – Present · 2 yrs 5 mos · Hyderabad, Telangana, India

Re-architected a shared integration library to support Kafka producers and consumers with Avro schemas, enabling multiple microservices to publish and consume messages while reducing duplicate integration code.
Delivered a chatbot policy UI that enabled clients to define and apply conversation rules, driving ~80% client adoption and triggering real-time suggestions to improve agent response quality.
Migrated a production NER inference service from Seldon to Ray Serve using Hugging Face models, improving throughput and reducing inference latency by ~30% under peak traffic.
Built an automated API evaluation harness using embedding-based metrics to assess response quality, reducing manual QA effort by ~60% for conversational services.

KafkaAvro schemasmicroserviceschatbot policy UINER inference serviceHugging Face models+3

Optum

2 roles

Senior Software Engineer

Jul 2023 – Dec 2023 · 5 mos

• Developed RESTful APIs(GET, POST and PUT) to access data in MySQL Server and MongoDB databases, facilitating data interaction for an UI Application.

RESTful APIsMySQL ServerMongoDBBack-End Web Development

Software Engineer

Aug 2021 – Jul 2023 · 1 yr 11 mos

Worked on a full stack application for querying data from multiple databases in a user-friendly way on the line of
MS Access. The database query time is reduced to 2-3 minutes using the application.
Implemented 2 features like Public/Private queries and Drag/Drop of query elements in the UI.
Optimized the query generation and data loading time by 40% using EhCache for data caching.
Presented 2 hours of learning session within the team for Docker and Kubernetes.
Promoted to Senior Software Engineer in a new Project team.
Tech Stack : Java, Spring Boot, Angular, MySql, MongoDB, Kubernetes

full stack applicationMySQLMongoDBDockerKubernetesFull-Stack Development

Vimana

Site Reliability Engineer

Feb 2021 – Jul 2021 · 5 mos · Chennai, Tamil Nadu, India

● Worked on technologies like AWS, Ansible, Docker, Kubernetes, Git, Kafka, MongoDB, TeamCity, HelmCharts, ElasticSearch, Kibana, Grafana, Prometheus.
● Worked on various AWS concepts like EKS, Ec2, CloudWatch, CloudTrail, EBS, S3, VPC.
● Wrote various scripts and Ansible playbooks to automate tasks like tagging EBS volumes, creating AWS CloudWatch alarm, etc.
● Upgraded Kafka from 2.3.1 to 2.6.1 inside Kubernetes
● Upgraded Mongodb from 3.4 to 4.4 inside Kubernetes
● Was part of EKS upgrade from 1.16 to 1.18.

AWSAnsibleDockerKubernetesGitKafka+2

Loksun

Deep Learning & Computer Vision Intern

Jun 2019 – Jul 2019 · 1 mo · Bengaluru Area, India

● Designed and developed a Deep Learning and Computer Vision based surveillance system which involves detection of various violent weapons in the real time video footage.
● Developed a real time occlusion based face detection application which detects faces with total visibility
of around 60 to 70 percentage.
● Company filed US patent for the the project.

Deep LearningComputer VisionMachine Learning