Tanishka Chaudhary

PRANVEER SINGH INSTITUTE OF TECHNOLOGY, KANPUR

Kanpur, Uttar Pradesh, India

Since April 23, 2026

About

AI/ML-focused undergraduate with hands-on experience in deep learning, LLM-based systems, and computer vision. Strong foundation in Python and neural networks, with research-driven projects in emotion-aware AI, privacy-preserving systems, generative models and data analysis. Passionate about building scalable, ethical AI solutions through experimentation and applied research.

Skills

Machine LearningFront-endAI EngineersDecision MakingTechnical LeadershipLLM applicationsAI/ML Frameworks

Education

PRANVEER SINGH INSTITUTE OF TECHNOLOGY, KANPUR

B.Tech · Information Technology

October 15, 2023 – July 15, 2027

Key Strengths

Demonstrated foundational knowledge in AI/ML, deep learning, LLMs, and computer vision, highly relevant for a Prompt Engineer role.
Practical experience in building agentic AI workflows and LLM-powered applications, including summarization, report generation, and emotion detection.
Proficiency in key AI/ML frameworks and tools such as Python, PyTorch, TensorFlow, Hugging Face, Scikit-learn, Pandas, NumPy, and Gemini API.
Relevant certifications in Google Cloud Generative AI and GenAI Powered Data Analytics, indicating a proactive learning approach in the field.
Strong research aptitude evidenced by projects involving deep neural networks, image processing, and ethical AI considerations.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data to assess cultural fit due to a 0 score in the psychometric test, which evaluates logical reasoning, work attitude, stress handling, and team collaboration.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Demonstrated foundational knowledge in AI/ML, deep learning, LLMs, and computer vision, highly relevant for a Prompt Engineer role.
Practical experience in building agentic AI workflows and LLM-powered applications, including summarization, report generation, and emotion detection.
Proficiency in key AI/ML frameworks and tools such as Python, PyTorch, TensorFlow, Hugging Face, Scikit-learn, Pandas, NumPy, and Gemini API.
Relevant certifications in Google Cloud Generative AI and GenAI Powered Data Analytics, indicating a proactive learning approach in the field.
Strong research aptitude evidenced by projects involving deep neural networks, image processing, and ethical AI considerations.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data to assess cultural fit due to a 0 score in the psychometric test, which evaluates logical reasoning, work attitude, stress handling, and team collaboration.

Soft Skills & Operational Fit