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• Getting Started19 Oct 2026

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About

I am John Christofer M, a recent graduate with an M.Sc in Artificial Intelligence and Data Science from Karunya Institute of Technology and Sciences, Coimbatore, class of 2025. During my studies, I completed internships as an AI Engineer at Workcohol, a Verification Analyst at qBotica, and a Machine Learning Engineer at Pantech E Learning, where I worked on projects involving RPA, chatbot development, and predictive modeling. My technical skills include Python, R, ETL/ELT pipelines, Apache Spark, Kafka, Airflow, MySQL, MongoDB, RAG, LLMs, NLP, and Semantic Search. I am eager to take on my first full-time role as an ML Engineer, leveraging my academic and practical experience to contribute to innovative data-driven solutions.

Experience

1. Verification Analyst (Robotic Process Automation)

   qBotica

   07/2025 – 05/2026 · Chennai

   Orchestrated end-to-end Robotic Process Automation (RPA) workflows utilizing UiPath and the Robotic Enterprise (RE) Framework to automate complex document processing across enterprise business operations. Optimized Intelligent Document Processing (IDP) accuracy by integrating ABBYY FlexiCapture, establishing automated exception handling and human-in-the-loop (HITL) workflows via the Verification Station. Engineered a secure Python and FastAPI middleware service to securely route flagged exception documents to a custom user interface, streamlining manual data validation for non-technical stakeholders. Enhanced enterprise data security and compliance by enforcing strict access control mechanisms, eliminating direct database interactions while maintaining high data integrity.

2. AI Engineer

   Workcohol

   01/2025 – 03/2025 · Chennai

   Architected chatbot using LangChain and vector databases to enable natural language querying (NLP) across multi-format enterprise documents (PDF, XLSX, DOCX). Engineered automated data ingestion pipelines to extract, chunk, and convert heterogeneous file formats into dense embeddings for low-latency semantic search. Implemented contextual vector search mechanisms to deliver intent-aware responses, outperforming keyword-based retrieval and enhancing document intelligence across unstructured repositories.

3. Machine Learning

   Pantech E Learning

   06/2024 – 07/2024 · Chennai

   Engineered a supervised machine learning model using Scikit-Learn to forecast airline cargo weights, optimizing flight payload allocation and aviation logistics. Built robust data preprocessing pipelines executing feature encoding, StandardScaler normalization, and IQR outlier filtering to maximize model accuracy. Developed exploratory data analysis (EDA) workflows with Matplotlib and Seaborn to translate complex data distributions into actionable operational insights.

Education

1. Karunya Institute of Technology and Sciences, Coimbatore

   M.Sc in Artificial Intelligence and Data Science

   2023 – 2025 · Grade: 8.34

2. JP College of Arts and Sciences

   B.Sc in Chemistry

   2020 – 2023 · Grade: 8.3

Projects

• IoT Data Engineering Pipeline – Real-Time & Batch Streaming Platform

  • Apache Kafka
  • Apache Spark
  • Apache Airflow
  • SQL
  • Streamlit

  Architected an end-to-end real-time IoT data pipeline using Apache Kafka to ingest, process, and stream continuous high-frequency telemetry data across a decoupled pub/sub architecture. Engineered stream and batch ETL processing workflows leveraging Apache Spark to execute schema validation, windowed aggregations, data cleaning, and feature extraction.

• Semantic Book Recommender System

  • LangChain
  • Sentence Transformers
  • Chroma DB
  • BART-large-MNLI
  • DistilRoBERTa
  • Gradio

  Architected an NLP-powered semantic book recommendation system leveraging LangChain and Sentence Transformers (bge-large-en) to perform high-precision vector similarity searches across 7,000+ catalog records. Implemented a high-performance vector database utilizing Chroma DB to store dense text embeddings, enabling low-latency semantic search and retrieval based on natural language queries.

• Custom Knowledge Chatbot

  • Chainlit
  • LangChain
  • Groq
  • OpenAI
  • Anthropic
  • Pandas
  • RecursiveCharacterTextSplitter
  • Hugging Face
  • Google SpeechRecognition API

  Architected an interactive multimodal conversational AI interface using Chainlit, LangChain, and Python, supporting dynamic backend routing across Groq (Llama-3), OpenAI (GPT-4), and Anthropic (Claude-3) models. Engineered an automated document ingestion pipeline to load, chunk, and extract context from unstructured files (PDF, DOCX, CSV, XLSX) utilizing the library Pandas, and RecursiveCharacterTextSplitter.

• Cargo Weights Prediction for Airlines Using ML Model

  • Python
  • Pandas
  • NumPy
  • Scikit-Learn
  • LabelEncoder
  • StandardScaler
  • Seaborn
  • Matplotlib

  Engineered a predictive machine learning model in Python to estimate total cargo landed weights for airline operations using Pandas, NumPy, and Scikit-Learn. Performed comprehensive data preprocessing, encoding categorical variables using LabelEncoder and normalizing numerical features with StandardScaler.

Certifications

• Cloud Basics

  AWS Skills Center — Amazon Web Services (AWS)

• Compute, Networking & Account Strategies

  AWS Skills Center — Amazon Web Services (AWS)

• Identities, Security & Monitoring

  AWS Skills Center — Amazon Web Services (AWS)