Tejas Jagdale

AI & Machine Learning Engineer

hellotejasdata@gmail.com +91 9130867975

--// Technical Skills //--

Languages

  • Python
  • SQL

AI/ML/DL

  • Machine Learning
  • Deep Learning
  • NLP
  • LLM / OLLAM
  • Computer Vision
  • RAG

Frameworks/Tools

  • Python/Numpy
  • LangChain/LangSmith
  • PowerBI / Tableau
  • JIRA / SLACK
  • N8n Automation
  • RESTful/OpenAI APIs

Cloud & Data

  • Microsoft Azure
  • AWS / Google Cloud
  • Data Visualization
  • Data Warehouse/ETL
  • DBMS

--// Professional Experience //--

Full Time - Artificial Intelligence Engineer

AssetCues Pvt Ltd, Pune (June 2024 - Present)

  • Held a hybrid role, contributing as a hands-on AI Engineer while also taking on product management responsibilities.
  • Contributed to a 70% acceleration of the organization's core asset entry, validation, and audit pipeline through the integration of custom AI & ML tools.
  • Developed and deployed computer vision models using YOLOv8 and OpenCV for asset identification and damage analysis.
  • Engineered and launched a client-facing Chatbot using LangChain, enabling clients to query asset information and receive instant updates.
  • Built and integrated an OCR-based invoice processing system that automated data extraction and validation, reducing manual entry errors by over 95%.

Internship - Data / Risk and Business Analyst

TradeShala Pvt Limited, Pune (Dec 2023 - April 2024)

  • Selected for a competitive internship focused on quantitative analysis.
  • Developed data-centric frameworks to model risk and provide insights for business strategy.
  • Developed user stories and use cases for BI solutions, improving data-driven decision-making.
  • Monitored project budgets, tracked expenses, and prepared financial reports to ensure cost-effectiveness.

--// Projects //--

AI Powered Customer Support Email Generator

Objective: To automate repetitive email drafting with high consistency and quality.

Tech Stack: GPT-4, Streamlit.

  • Built a generative AI tool that converts brief customer issues into polished, professional email responses.
  • Integrated tone customization (formal, friendly, apologetic) and optional language translation.
  • Enhanced support team productivity by automating repetitive email drafting.

Recommender System for E-commerce Platform

Objective: To enhance user experience and increase sales through personalized product recommendations.

Tech Stack: Python, Collaborative Filtering, Content-Based Filtering.

  • Developed a personalized product recommendation system.
  • Analyzed user interaction data from a mock e-commerce dataset.
  • Implemented both collaborative filtering and content-based filtering techniques.

Customer Complaint Ticket Classifier & Summarizer

Objective: To automate customer support workflows for intelligent email classification and response generation.

Tech Stack: n8n, GPT-4, Gmail.

  • Developed and deployed a suite of AI-powered customer support automation workflows.
  • Enabled intelligent email classification, multilingual auto-replies, sentiment analysis, and SLA-based escalations.
  • Integrated with tools like Gmail to streamline response generation, ticket routing, and complaint summarization.

Image Classification using Convolutional Neural Networks (CNNs)

Objective: To accurately identify and categorize images into predefined classes.

Tech Stack: TensorFlow, Keras, CIFAR-10 dataset.

  • Developed an image classification model.
  • Used the CIFAR-10 dataset consisting of 60,000 32x32 color images in 10 classes.
  • Employed TensorFlow and Keras frameworks for building and training the CNN model.

A Hybrid Machine Learning Framework for Proactive Phishing Threat Identification

Objective: To proactively identify phishing threats using a hybrid ML framework.

Publication: Published in the International Journal for Research in AI & ML.

--// Certifications //--

  • IBM Data Analysis Using Python
  • Microsoft Data Analyst
  • Azure Certification
  • Python Developer
  • SQL Developer
  • PowerBI Developer
  • Project Management Certificate
  • Scrum Agile Basic and Advance Certification
  • Generative AI for Healthcare

--// Education & Achievements //--

Bachelor of Engineering, Computer Engineering

Savitribai Phule Pune University (Graduated June 2024) - CGPA: 8.5/10

  • Vice President of Computer Student Association.
  • Received the award for Best Paper Publication in International Journal for Research in Artificial Intelligence & Machine Learning domain.
  • Project: "A Hybrid Machine Learning Framework for Proactive Phishing Threat Identification," published in the International Journal for Research in AI & ML.