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AI Engineer with less than a year in Data Engineering & Machine Learning
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Highly motivated AI Engineer with strong expertise in building scalable data pipelines using PySpark, Python, and Polars. Proven experience in data engineering, ETL/ELT processes, and transforming raw data into actionable insights. Proficient in Object-Oriented Programming (OOPs), advanced SQL, and cloud-based platforms for processing large datasets. Strong problem-solving mindset with ability to work independently in fast-paced, agile environments. Immediate joiner ready to deliver data-driven solutions and enable business intelligence across organizations.
University of Kalyani
M.Sc · Data Science
August 1, 2023 – June 30, 2025
The University of Burdwan
B.Sc · Computer Science
August 1, 2020 – June 30, 2023
Intelgic Technologies Pvt. Ltd.
Data Annotator
March 1, 2025 – June 1, 2025
Kolkata, West Bengal, India
CyberSential-AI
September 1, 2025 – October 1, 2025
Developed production-oriented AI solution using multiple LLM agents for automated threat detection with voice-based alert system and conversational interface. Implemented agentic AI framework with voice-enabled AI pipeline for real-time security monitoring and interactive voice responses using Text-to-Speech (TTS). Built LLM-driven assistant using OpenAI API for intelligent threat analysis, severity evaluation, and automated response generation. Designed conversation flow optimization for voice-based queries and implemented prompt design strategies for consistent AI responses. Debugged, tested, and documented AI pipelines following best practices for production-grade deployments.
View ProjectLLM-Based Chatbot with Langchain & RAG
August 1, 2025 – September 1, 2025
Built end-to-end LLM-powered application using OpenAI GPT-3.5-turbo API for real-time question-answering and conversational AI functionality. Implemented advanced prompt engineering techniques and response tuning to optimize LLM performance and conversation flow, achieving 90% user satisfaction in testing. Integrated LangChain framework for building complex conversational chains and LLM-driven assistant capabilities with context-aware responses. Developed custom knowledge base with optimized prompt design for improved model performance. Developed RAG (Retrieval-Augmented Generation) pipeline using vector databases for enhanced natural language processing and information retrieval.
View ProjectAI-Driven Heart Disease Detection using Biological Signals
January 1, 2025 – June 1, 2025
Built production-oriented AI solution for cardiovascular disease detection using machine learning and deep learning with TensorFlow and PyTorch. Developed REST API endpoints for model deployment and tested API-based model integration for real-time predictions. Performed model training, model evaluation, and hyperparameter tuning achieving 91% accuracy on test dataset. Collaborated with engineering teams to implement AI features end-to-end from data preprocessing to deployment. Maintained project documentation and version control using Git.
View ProjectSQL Advanced
HackerRank
January 1, 2025 – Present
Python Bootcamp Certification
HackerRank
January 1, 2025 – Present
Derive Insights from BigQuery Data
January 1, 2024 – Present
Develop Gen AI Apps with Gemini and Streamlit
January 1, 2023 – Present
Prompt Design in Vertex AI
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, covering heart disease detection, LLM chatbots, and AI-driven threat detection, indicates a broad interest in applying AI across different domains. The focus on building 'production-oriented' solutions and using modern tools like LangChain and RAG aligns well with an innovative, results-driven culture. The certifications in Google's Gen AI tools further show a proactive approach to learning and staying current with industry trends. While the professional experience is limited, the personal projects showcase initiative and a strong drive to build complex systems, which is a positive indicator for cultural fit in a dynamic AI engineering team.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through detailed project descriptions and a clear resume structure. Their experience in collaborating with engineering teams and maintaining documentation suggests an ability to work effectively in a team and adhere to best practices. The mention of Agile methodology and Test-Driven Development indicates an understanding of modern software development processes. However, the limited professional experience as a Data Annotator means practical application of these soft skills in a senior engineering context is yet to be fully proven.