CSK

CB Suraj Krishnan

AI Engineer

https://www.opentalent.in/cb-suraj-krishnan

M.Tech Computer Science student with focus on AI/ML and full-stack development.

Key Strengths

Strong foundational knowledge in Python for data processing and application development.
Experience with full-stack development (Flask, PostgreSQL, Angular) demonstrates versatility.
Exposure to machine learning, image processing (OpenCV), and geospatial data analysis aligns with AI Engineer role.
Familiarity with Docker for containerization indicates good development practices.
Academic projects showcase practical application of learned concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects demonstrate a breadth of technical interests, including full-stack development, voice assistants, and GeoAI. This diversity suggests an adaptable individual. The pursuit of an M.Tech in Computer Science and Engineering indicates a commitment to continuous learning. However, the projects are all academic, and there is no professional experience, which limits the assessment of cultural fit in a corporate environment. The target role of 'AI Engineer' aligns with the GeoAI project, but the other projects are less directly related, indicating a broad interest rather than a focused AI background.

Soft Skills & Operational Fit

The candidate's project descriptions indicate an ability to work on diverse technical challenges, from full-stack web development to AI/ML applications. The use of tools like Git and Docker suggests an understanding of modern development workflows. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or communication clarity in a professional setting.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

M.Tech Computer Science student with strong fundamentals in Python and hands-on experience in data processing and full-stack application development. Familiar with REST APIs, relational databases, and backend development using Flask. Experienced in working with real-world datasets, including satellite imagery analysis, and applying basic machine learning techniques. Interested in data science, AI/ML, and building data-driven intelligent systems.

Top Skills

PythonMachine LearningData ProcessingFlaskPostgresql

Education

University of Visvesvaraya College of Engineering (UVCE)

M.Tech · Computer Science and Engineering

August 1, 2024 – Present

BMS Institute of Technology and Management

B.E. · Information Science and Engineering

August 1, 2020 – June 30, 2024

Nagarjuna Pre-University College

Pre-University

June 1, 2018 – May 31, 2020

Nagarjuna Vidyaniketan

Schooling

June 1, 2008 – May 31, 2018

Projects

Residential Apartment Rental Portal

June 23, 2026 – Present

Developed a full-stack web application enabling users to browse apartments, request bookings, and track booking status. Designed and implemented RESTful APIs using Flask for authentication, booking workflows, and role-based access control (Admin/User). Modeled and managed relational data using PostgreSQL, including users, units, amenities, and booking records. Implemented secure authentication using JWT-based session management for protected API access. Integrated frontend (Angular) with backend APIs to enable real-time data exchange and seamless user interactions. Containerized the application using Docker and docker-compose to streamline development and deployment.

Voice Assistant "Amigos"

June 23, 2026 – Present

Developed a desktop voice assistant using Python with speech recognition and text-to-speech capabilities. Implemented real-time command processing using Google Speech Recognition API. Integrated Wikipedia API for information retrieval and implemented web scraping using BeautifulSoup to fetch news data. Implemented multi-threading using QThread to maintain UI responsiveness during background execution. Designed an interactive GUI using PyQt5 with real-time logging and command output.

View Project

GeoAI Urban Renewal Detection

June 23, 2026 – Present

Worked on satellite imagery datasets to analyze and identify urban development patterns. Performed data preprocessing, cleaning, and feature extraction on geospatial data using NumPy and Pandas. Used Matplotlib for basic data visualization and analysis of spatial patterns. Explored basic machine learning and image processing techniques (including OpenCV) for pattern detection. Utilized GPU-enabled environments (Kaggle) for handling large datasets efficiently. Extracted insights from structured data and experimented with improving model performance.

Certifications

Selenium Basic Certification

Infosys Springboard

January 1, 2023 – Present

Python Bootcamp

BMS Institute of Technology and Management

January 1, 2022 – Present

Key Strengths

Strong foundational knowledge in Python for data processing and application development.
Experience with full-stack development (Flask, PostgreSQL, Angular) demonstrates versatility.
Exposure to machine learning, image processing (OpenCV), and geospatial data analysis aligns with AI Engineer role.
Familiarity with Docker for containerization indicates good development practices.
Academic projects showcase practical application of learned concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit