Shubham Kumar

Software Engineer

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building AI-driven platforms and scalable microservices.
Proficient in Java, Spring Boot, and cloud-native systems.
Strong background in machine learning and natural language processing.

Stackforce AI infers this person is a skilled Software Engineer specializing in AI-driven SaaS solutions and cloud-native architectures.

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Skills

Core Skills

JavaMicroservicesMachine LearningNatural Language Processing (nlp)Devops

Other Skills

AWS FoundationAiderAmazon Web Services (AWS)AngularAngularJSArtificial Intelligence (AI)AzureAzure Key VaultBashBullMQC (Programming Language)C++Cascading Style Sheets (CSS)Classification treeClient Setup & Delivery

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Hashedin by deloitte

3 roles

Software Engineer

Jul 2024 – Present · 1 yr 11 mos

Designed & Developed scalable full-stack systems using Java, Spring Boot, Microservices, ORM, React, GEN-AI.
Designed and Developed RESTful APIs, Data Service Pipelines, caching mechanisms, and integrations with PostgreSQL, Oracle SQL, and third-party services.
Deployed microservices to Azure & Oracle Cloud using CI/CD pipelines, with attention to performance and reliability.
Contributed to enterprise-grade platforms including employee management systems, AI-based chat platforms (RAG, vector embeddings, FastAPI), and a custom validation framework using LLMs.
Active contributor to team discussions, agile planning, and code reviews.
Resolved production issues and optimized backend systems for latency and throughput.

JavaSpring BootMicroservicesORMReactGEN-AI+3

SDE Intern

Jun 2024 – Jul 2024 · 1 mo

Built a Validation Framework with Feedback loop mechanism on top of it.
It worked as additional layer over the LLM that helps in reducing human interference.
It assists the LLM to take better decisions and produce results based on several defined metrics by the user, reducing the human feedback involvement by 100%.
It can be utilised by multiple industries in Chat Bots, Codebases, Training purposes, etc. who are looking for a Hassle free feedback and validation of customer responses.

Validation FrameworkLLMFeedback loop mechanismMachine LearningNatural Language Processing (NLP)

SDE Trainee Engineer

Apr 2024 – May 2024 · 1 mo

A rigorous Training under the hood of Hashedin University (HU).
Built Complete Backend and Frontend systems with standard and advanced implementations in just 5 days.
Hands on Project work and training in React js, Spring Boot, Python, Rust, GEN AI, Cloud and DevOps technologies.

ReactSpring BootPythonRustGEN AICloud+1

Optym

DevOps Intern

Feb 2024 – Mar 2024 · 1 mo · Bengaluru, Karnataka, India · Hybrid

Worked on deploying full stack applications on cloud platforms, extensively used nginx, Azure, docker images and Kubernetes.
Configured systems for local hosting using Nginx and deployment principles.

NginxAzureDockerKubernetesDevOps

Nullclass

Machine Learning Developer Intern

Oct 2023 – Dec 2023 · 2 mos · Bengaluru, Karnataka, India · Remote

Developed an Emotion Detector application.
The application can rapidly identify genuine emotions within seconds, whether from saved images or live pictures.

Emotion DetectionImage ProcessingMachine Learning

Blackcoffer

Python Developer

Jun 2023 – Jun 2023 · 0 mo · Remote

Conducted Natural Language Processing (NLP) analysis for a Chat bot system involving the examination of a dataset comprising over 150,000 refinements.
Employed NLP techniques, Python libraries, and Natural Language Toolkit (NLTK) to meticulously analyze conversational data utilized by chatbot systems.

Natural Language Processing (NLP)PythonNLTK