AI Research Engineer with less than a year in Machine Learning & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Developer with a strong foundation in Artificial Intelligence, Machine Learning, and Data Analytics, experienced in designing and deploying intelligent solutions. Proficient in Python and modern AI frameworks, with hands-on expertise in data preprocessing, model development, and performance optimization. Driven to apply innovative, data-driven technologies to solve real-world problems and support scalable business growth.
NSTI(W), Kolkata
Artificial Intelligence Programming Assistant
August 1, 2025 – Present
Upsourced Consultancy ServicesPvt. Ltd (RAPGURU)
AI Developer
August 1, 2025 – Present
India
Career Essentials in Generative AI by Microsoft and LinkedIn
Microsoft and LinkedIn
July 1, 2025 – Present
Embrace responsible AI principles and practices
Unknown
April 1, 2025 – Present
Career Essentials in Data Analysis by Microsoft and LinkedIn
Microsoft and LinkedIn
April 1, 2025 – Present
Microsoft Copilot for Productivity by Microsoft and LinkedIn
Microsoft and LinkedIn
November 1, 2024 – Present
Computer Operating and Programming Assistant
Unknown
August 1, 2023 – August 1, 2024
Cultural Fit Analysis
The candidate's profile shows a strong focus on AI and ML, aligning well with an 'AI Research Engineer' role. The experience in leading the AI lifecycle, conducting R&D, and integrating generative AI tools demonstrates a proactive and innovative mindset. The listed personal skills like adaptability and problem-solving, combined with experience in cross-functional collaboration, suggest a good cultural fit for dynamic and research-oriented teams. The diversity of projects (e.g., PlantiFi Pro, AI Disaster Prediction App) indicates a breadth of interest and application areas within AI.
Soft Skills & Operational Fit
The candidate lists creativity, adaptability, communication, problem-solving, teamwork, and public speaking as personal skills. The work experience description mentions collaboration with cross-functional teams and clients, and maintaining documentation, which suggests a good operational fit for team-based project environments. However, without direct assessment data for these soft skills, this remains an inference.