AIML Software Engineer - Python ML

KUNDAN KUMAR SAW

Software Engineer

+91-982******* * Noida, UP # ************@*****.***

ï linkedin.com/in/kundan-saw-657b08328 § github.com/Kundan9820 Ð leetcode.com/u/kundan9820 Summary

B.Tech Computer Science undergraduate with a strong foundation in Python, SQL, Data Structures and Algorithms, Object-Oriented Programming, and database fundamentals. Experienced in developing software and AI/ML applications using Python, Scikit-learn, Streamlit, and FastAPI. Hands-on experience with data analysis, EDA, machine learning algorithms, and building interactive applications. Strong problem-solving skills with the ability to learn new technologies and work effectively in collaborative environments. Skills

Programming: Python, SQL, JavaScript, HTML/CSS

Machine Learning: ML Algorithms, EDA, Feature Engineering, Model Evaluation, Classification, Regression Libraries & Frameworks: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Streamlit, FastAPI Databases: MySQL, SQL, Database Fundamentals, Database Design AI: Large Language Models, AI Agents, LangChain, LangGraph, LangSmith Tools: Git, GitHub, VS Code, Google Colab, Jupyter Notebook, Power BI, Excel Core CS: Data Structures & Algorithms, OOP, DBMS, Problem Solving, Software Development Fundamentals Experience

Machine Learning Intern (Training) February 2026 – July 2026 Syskriti Pvt. Ltd., Noida (Remote) Excel, SQL, Power BI, Pandas

– Processed and standardized a dataset of over 1,00,000 rows from multiple regions to support data analysis and weekly KPI reporting.

– Used SQL and Pandas for data cleaning, transformation, analysis, and identifying trends across regions and time.

– Assisted in preparing analytical reports using Power BI and Excel to support data-driven business insights. Projects

AI Conversational Chatbot Python, LangGraph, RAG, LangSmith, Streamlit, Ollama GitHub

– Built an AI-powered conversational chatbot using RAG and LangGraph with a state-based workflow for processing user queries.

– Integrated Python and RAG based application components to process user inputs and generate contextual responses using Llama 3.2 through Ollama.

Sentiment Analysis of Social Media Posts Python, Scikit-learn, NLP, Streamlit GitHub

– Built an AI-based sentiment analysis application to classify social media text as Positive, Neutral, or Negative.

– Performed text preprocessing, EDA, feature extraction, and model evaluation using Python and Scikit-learn. Education

B.Tech - Computer Science and Engineering 2023 – 2027 IEC College of Engineering and Technology, Greater Noida (AKTU) CGPA: 7.56 / 10 Class XII - Higher Secondary 2023

Inter Science College, Hazaribagh (JAC) Percentage: 80.1% Class X - Secondary 2021

Delhi Public School, Hazaribagh (CBSE) Percentage: 82% Awards & Certifications

– Merit-Based Scholarship: Awarded a merit-based scholarship for academic excellence in 1st Year B.Tech (2024).

– Top Performer: Recognized as a Top Performer in a DSA Technical Seminar for strong problem-solving skills.

– Certification: Completed Front-End Web Development Course from Udemy (2025).

Contact this candidate