Aniket Samanta

DevOps Engineer

Haridwar, Uttarakhand, India6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building RAG systems and AI-powered applications.
Hands-on experience with LLM integration and backend development.
Proficient in Python and machine learning techniques.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in AI and Machine Learning applications.

Contact

Skills

Core Skills

Retrieval-augmented Generation (rag)Spring BootMachine Learning

Other Skills

Python (Programming Language)Artificial Intelligence (AI)DockerPythonPandasNumPyMatplotlibSeabornScikit-learnSQLGenerative AI

About

AI Engineer with hands-on experience in building Retrieval-Augmented Generation (RAG) systems and scalable backend applications. Currently working at CSIR-CBRI, developing a document intelligence chatbot using LLM integration, semantic retrieval, and secure backend systems with Spring Boot. I specialize in combining Generative AI with backend engineering to build real-world intelligent systems. My work focuses on designing RAG pipelines, developing REST APIs, and integrating AI models into production-ready applications. Tech Stack: Java, Spring Boot, Python, RAG, LLM Integration, FAISS, MySQL, Docker Currently working on building end-to-end AI systems that combine backend architecture with modern AI capabilities.

Experience

Central building research institute (cbri), roorkee, uttarakhand (india)

Internship Trainee

Jan 2026 – Present · 3 mos · Roorkee, Uttarakhand, India · On-site

Engineered a RAG-based document intelligence system using LLM and vector databases
Developed RESTful backend APIs using Spring Boot for query handling and system integration
Built frontend interface using React (Vite) for chatbot interaction
Implemented authentication and role-based access control
Integrated AI pipeline with backend for real-time context-aware responses
Deployed cloud-based application for internal users

Machine LearningPython (Programming Language)Retrieval-Augmented Generation (RAG)Artificial Intelligence (AI)DockerSpring Boot

Ck & sons textiles

Data Mining

Jul 2024 – Aug 2024 · 1 mo · Uttar Pradesh, India · Remote

Python (Programming Language)

Idemia india foundation

Data Analyst

Feb 2024 – Jun 2024 · 4 mos · Noida, Uttar Pradesh, India · On-site

Python (Programming Language)

Gdsc gniot

GDSC MEMBER

Nov 2023 – Jun 2024 · 7 mos · India · On-site

Machine LearningArtificial Intelligence (AI)Python (Programming Language)

Ineubytes

Data Science Intern

Aug 2023 – Sep 2023 · 1 mo · India

Description:
As a Data Science Intern at IneuBytes, I participated in a comprehensive 2-month internship program focused on honing my skills in data science and machine learning. During this immersive experience, I had the opportunity to work on three significant projects, each contributing to my growth in the field.
Projects:
Heart Disease Classification:
Developed a predictive model to classify the presence or absence of heart disease.
Utilized Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn for data analysis and modeling.
Gained insights into feature engineering and model evaluation techniques.
Air Pollution PM2.5 Prediction:
Analyzed and predicted fine particulate matter (PM2.5) levels in the air.
Conducted data analysis using Python, Pandas, NumPy, Matplotlib, and Seaborn.
Contributed to forecasting models and recommendations for air quality improvement.
Customer Segmentation and Predictive Modeling (Major Project):
Led the development of a customer segmentation system based on spending behavior.
Utilized Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn for data analysis and modeling.
Created predictive models for annual customer spending, aiding in business decision-making.
Key Achievements:
Collaborated effectively within a team environment to solve complex data science challenges.
Acquired practical skills in data preprocessing, feature engineering, and model evaluation.
Gained a solid foundation in machine learning concepts and their real-world applications.
Enhanced proficiency in Python programming for data manipulation, analysis, and visualization.

Machine LearningPython (Programming Language)

Ethical edufabrica pvt. ltd

Artificial Intelligence with Machine Learning Intern

Jun 2023 – Jul 2023 · 1 mo · India · Remote

Engaged in an immersive 2-month summer training and internship program at Ethical Edufabrica Pvt. Ltd., focused on Artificial Intelligence and Machine Learning. Gained hands-on experience in various aspects of AI/ML, including Python programming, regression analysis, clustering techniques, classification algorithms, decision tree modeling, and random forest ensemble methods.
Highlights:
Successfully completed projects that demonstrated proficiency in predictive analytics:
Developed a predictive model for house price predictions utilizing regression techniques.
Constructed a flower classification system employing classification algorithms for accurate species identification.
Created a movie recommendation engine using collaborative filtering techniques to enhance user experience.
Collaborated within a team environment to problem-solve and deliver innovative solutions to complex challenges.
Acquired practical skills in data preprocessing, feature engineering, and model evaluation.
Gained a solid foundation in machine learning concepts and their real-world applications.
Enhanced proficiency in Python programming for data manipulation, analysis, and visualization.
Overall, the internship equipped me with valuable skills and practical experience in AI/ML, enabling me to contribute effectively to data-driven projects and solutions.