SHUBHAM S.

Software Engineer

Gurugram, Haryana, India5 yrs 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building scalable backend systems and ML pipelines.
Proficient in integrating Agentic AI architectures for enterprise automation.
Strong foundation in statistical machine learning and generative AI.

Stackforce AI infers this person is a Backend-focused AI Engineer with expertise in enterprise automation and machine learning.

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Skills

Core Skills

Generative AiApi DevelopmentTechnical LeadershipSoftware DeploymentMachine LearningData ScienceJava

Other Skills

AI SolutionsAWSAlgorithmsAmazon Web Services (AWS)Analytical SkillsAndroid Application DevelopmentAngularArchitectureAttention to DetailBack-End Web DevelopmentBeautiful SoupBig-Picture ThinkingCSSCascading Style Sheets (CSS)ChatGPT

About

Experienced software engineer with a foundation in statistical machine learning, Python development, and generative AI. Skilled in building scalable backend systems and ML pipelines, and in integrating Agentic AI architectures for enterprise automation. Passionate about creating intelligent systems that combine robust Python engineering, applied ML, thoughtful prompt design, and effective information retrieval to deliver real-world impact.

Experience

5 yrs 3 mos

Total Experience

1 yr 9 mos

Average Tenure

2 yrs 10 mos

Current Experience

Ibm

Software Engineer

Aug 2023 – Present · 2 yrs 10 mos · India · On-site

1. Spearheaded the development of enterprise-ready Agentic AI systems using LLMs ( Granite, LLaMA), enabling autonomous task planning, perception, and decision-making across workflows.
2. Designed and integrated intelligent multi-agent ecosystems using fine-tuned models, advanced tokenisation, memory persistence, and dynamic planning tools for scalable generative AI applications.
3. Engineered robust ML APIs with embedded RAG and prompt engineering workflows, enhancing precision in enterprise retrieval and automation systems.
4. Collaborated with cross-functional engineering teams to embed GenAI capabilities into real-world enterprise use cases.
5. Developed and deployed Python Flask backends to support multi-agent systems and conversational AI pipelines.
6. Integrated pipelines with Slack, OAuth, and user session management for enterprise-ready assistants.
7. Designed and optimised CI/CD workflows on OpenShift and Docker, ensuring scalable deployment.
8. Implemented dataset ingestion and validation pipelines improving retrieval accuracy for domain-specific knowledge.

PythonGenerative AILarge Language Models (LLM)Retrieval-Augmented Generation (RAG)ArchitectureElasticsearch+1

Netapp

Intern

Jan 2023 – Jul 2023 · 6 mos · Bengaluru, Karnataka, India · On-site

Gathered Knowledge about the ONTAP cluster Fundamentals, SAN, NAS and
Protection Fundamentals for storage.
Developed a new Feature in an existing application for management of S3
Bucket object lifecycle rules expiration using Angular, Typescript, Html , CSS
and Perforce for Version Control.

PerforceArchitectureTechnical LeadershipNetwork-Attached Storage (NAS)HTML5Software Deployment+4

Indraprastha institute of information technology, delhi

Teaching Assistant

Jan 2021 – Dec 2022 · 1 yr 11 mos · Delhi, India · On-site

1 Led curriculum delivery and workshops on statistical ML, NLP, recommendation systems, and Python-based development, mentoring students in applying concepts using scikit-learn, pandas, and deep learning frameworks.
2 Built and deployed end-to-end ML and data pipelines: data processing, feature engineering, model training, hyperparameter tuning, and deployment using Python, Docker, GCP, and CI/CD workflows.
3 Developed supervised, unsupervised, and NLP models for predictive analytics, integrated them into real-world use cases, and guided teams in applying classical ML techniques with scalable Python solutions.
4 Applied advanced evaluation techniques (overfitting/underfitting checks, cross-validation), dimensionality reduction, clustering algorithms, and collaborative filtering systems for practical deployment.

Python (Programming Language)Machine LearningAlgorithmsAmazon Web Services (AWS)Deep LearningPyTorch+6

Accenture

Application Development Associate

Dec 2018 – Jun 2019 · 6 mos · Gurugram, Haryana, India · On-site

Gained valuable insight into Java application development, honing my skills in crafting clean and efficient code while effectively leveraging frameworks like Spring Boot to construct scalable and robust solutions
Developed a Python chatbot using NLTK and WordNet for warehouse data analysis, providing interactive and accurate insights to address client challenges.

NLTKMicroservicesSoftware DeploymentJava

Icecat

Intern

Mar 2018 – Jun 2018 · 3 mos · Amsterdam Area, Netherlands · Remote

Worked on scraping data from multiple websites, using python,
BeautifulSoup, Selenium Webdriver.

Python (Programming Language)MathematicsBeautiful Soup

Defence research and development organisation (drdo)

Intern

Jun 2017 – Aug 2017 · 2 mos · India · On-site

Worked on a Image processing project at IRDE Dehradun. Developed and implemented cutting-edge image processing algorithms using OpenCV and Python. Collaborated with a team of experts to address real-world challenges and enhance the capabilities of image processing technologies. Conducted thorough testing and validation to ensure the accuracy and efficiency of the solutions. Presented findings and progress reports to stakeholders, contributing to project success and technological advancements.

Python (Programming Language)Image Processing