
AI Engineer with less than a year in LLM post-training & machine learning systems.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Third-year B.Tech student in Artificial Intelligence & Data Science with hands-on experience in Large Language Model (LLM) post-training, Al evaluation, and machine learning systems. Skilled in Python, data science workflows, and real-world AI applications involving forecasting and analytics. Passionate about Generative AI, autonomous systems, and applied research.
Sanjivani University
Bachelor of Technology · Artificial Intelligence & Data Science
August 1, 2024 – June 30, 2028
Ethara AI
LLM Post-Training Intern
February 1, 2026 – May 1, 2026
India
AnantaNetra – AI-Powered Air Quality System
June 1, 2026 – Present
Built forecasting pipelines using LSTM, ARIMA, satellite (TEMPO), and OpenAQ datasets for air quality prediction Designed real-time dashboards for pollution trends and public health insights with interactive visualizations
Comprehensive training in Data Analysis with Python, Agile methodologies, DevOps, and Design Thinking
IBM Skills Network
June 1, 2026 – Present
Certified expertise in MongoDB for Students and advanced database Transactions
MongoDB University
June 1, 2026 – Present
Completed intensive professional Data Analytics Job Simulation
Deloitte (via Forage)
June 1, 2026 – Present
Bridging the Gap: An AI-Driven Approach to Make Urban Public Transport More Inclusive and Sustainable
Transformative Transport Conference (Scopus Indexed)
June 1, 2026 – Present
AnantaNetra: Environmental Monitoring System
International Journal of Emerging Technologies and Innovative Research (JETIR)
September 1, 2025 – Present
Cultural Fit Analysis
The candidate's profile shows a strong interest in applied AI and data science, aligning well with an AI Engineer role. Their project on 'AnantaNetra' and research on 'Inclusive and Sustainable Transport' indicate a commitment to impactful, real-world applications, which can be a positive cultural fit for organizations focused on innovation and societal benefit. However, the breadth of experience is limited to a single internship and personal project, which might require further assessment for diverse team environments and complex operational challenges.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and practical application, as evidenced by their internship, personal projects, and certifications. Their involvement in research and publications suggests a collaborative and inquisitive mindset. The psychometric test score indicates a reasonable capacity for logical reasoning and work attitude, though specific details on stress handling and team collaboration are not provided beyond the general focus areas.