KKS

Kashish Kedar Sahani

AI Engineer

https://www.opentalent.in/kashish-kedar-sahani

AI Engineer with less than a year in AI Engineering, Machine Learning, and Deep Learning.

Key Strengths

Strong foundational knowledge in Machine Learning and Deep Learning, as evidenced by project work.
Hands-on experience with end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment.
Proficiency in Python, TensorFlow/Keras, Pandas, and NumPy, essential for AI engineering roles.
Experience with LLMs and RAG systems, directly relevant to advanced AI applications.
Ability to develop interactive AI applications using Streamlit.
Demonstrated ability to apply AI technologies to solve real-world problems (e.g., stock prediction, medical assistant).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project diversity, including a stock predictor and a medical assistant, shows a broad interest in applying AI across different domains. The focus on building end-to-end solutions and interactive applications aligns well with an AI Engineer role that often requires practical implementation. The certifications further indicate a proactive learning attitude. However, the lack of professional experience makes it difficult to assess cultural fit beyond technical alignment and learning initiative.

Soft Skills & Operational Fit

The candidate demonstrates problem-solving skills and a results-driven attitude through project descriptions. The focus on building interactive and scalable solutions suggests an operational fit for roles requiring practical application of AI. However, without direct work experience, the ability to handle stress, collaborate in a team, or demonstrate logical reasoning in a professional setting is not directly verifiable from the provided data.

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Assessing your cultural and operational fit

About

Results-driven BCA graduate with a strong foundation in Machine Learning and Deep Learning. Hands-on experience building end-to-end ML pipelines, including data preprocessing, model training, and deployment. Skilled in LSTM-based time series forecasting and familiar with LLMs and RAG systems. Proficient in Python, TensorFlow/Keras, Pandas, and Streamlit for developing AI applications. Experienced in SQL and data analysis, with the ability to derive actionable insights. Motivated to apply AI technologies to solve real-world problems and build scalable solutions.

Top Skills

PythonModel TrainingDeploymentTensorFlowSQL

Projects

MediWise - AI Medical Assistant

January 1, 2025 – June 1, 2026

Built an AI-powered healthcare assistant using LLMs + RAG (Retrieval-Augmented Generation) for context-aware medical insights. Developed real-time Q&A system leveraging a medical knowledge base for improved accuracy. Implemented scalable architecture with Python, Streamlit, LangChain, and Vector DB. Enabled dynamic model handling and prompt tuning for optimized responses. Designed an interactive UI for seamless user experience.

Deep Learning Stock Price Predictor (LSTM)

January 1, 2025 – June 1, 2026

Developed an end-to-end stock prediction system using LSTM (TensorFlow/Keras) for time series forecasting. Integrated real-time stock data via yfinance and built a full ML pipeline (data preprocessing → training → prediction). Visualized actual vs predicted prices and generated future forecasts with performance metrics (RMSE, MAE, R²). Designed an interactive web app using Streamlit with configurable model parameters. Utilized Python, NumPy, Pandas, Matplotlib for data processing and visualization.

AI/ML Project Development

January 1, 2025 – June 1, 2026

Built and deployed AI-powered applications using Machine Learning & Deep Learning techniques. Executed end-to-end pipeline: data preprocessing, model training, evaluation, and deployment. Applied real-world problem-solving using Python, Pandas, NumPy, TensorFlow/Keras, Streamlit. Developed interactive interfaces and scalable solutions for practical use cases.

Certifications

Masters in Data Science and Analytics with AI

IT Vedant Education Pvt. Ltd.

June 1, 2026 – Present

Graphic Designing

Unknown

June 1, 2026 – Present

Data Analysis with Python

IBM

June 1, 2026 – Present

Python 101 for Data Science

IBM

June 1, 2026 – Present

Machine Learning with Python

IBM

June 1, 2026 – Present

Key Strengths

Strong foundational knowledge in Machine Learning and Deep Learning, as evidenced by project work.
Hands-on experience with end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment.
Proficiency in Python, TensorFlow/Keras, Pandas, and NumPy, essential for AI engineering roles.
Experience with LLMs and RAG systems, directly relevant to advanced AI applications.
Ability to develop interactive AI applications using Streamlit.
Demonstrated ability to apply AI technologies to solve real-world problems (e.g., stock prediction, medical assistant).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit