AI Engineer with less than a year in NLP & Computer Vision
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI/ML Engineer with hands-on experience in NLP, Computer Vision, and Generative AI through internships and real-world projects. Skilled in Python, machine learning frameworks, and data analysis with a strong foundation in AI/ML theory. Passionate about leveraging data-driven solutions to solve impactful problems.
UIET – Maharshi Dayanand University
B. Tech CSE(AI/ML) · Computer Science and Engineering (AI/ML)
November 1, 2022 – May 1, 2026
Vishwakarma Public School
CBSE - PCMB · Physics, Chemistry, Mathematics, Biology
April 1, 2020 – April 1, 2021
NeuroSpark
ML Mentor
August 1, 2024 – May 1, 2025
Rohtak, Haryana, India
Rag - Agronomy Chatbot
January 1, 2026 – June 1, 2026
Built an AI agronomy chatbot that diagnoses lettuce crop issues via a two-level pipeline: RAG with an agricultural knowledge base and rule-based analysis of real sensor data (EC, temperature, light) stored in ChromaDB. Implemented end to end system with Flask (chat UI + REST APIs), SentenceTransformers embeddings, and Llama LLM for context aware responses, including an intelligence router that switches between general guidance and sensor driven, numeric diagnoses.
View ProjectLicense Number Plate Detection
October 1, 2025 – October 1, 2025
Created a CV system using Haar Cascade and contour detection for real-time plate detection. Achieved 92% accuracy on testing with multiple pictures. Implemented robust processing and optical character recognition (OCR) to extract plate numbers for reliable automated vehicle identification.
View ProjectWaffer Fault Detection
August 1, 2025 – August 1, 2025
Developed classification models XGBClassifier, max_depth: 3 to detect faulty wafers. Improved manufacturing efficiency by reducing defective output by 17%. The model's predictions contributed to improving yield, reducing waste, and enhancing the overall semiconductor manufacturing process. Automates the process of checking wafers, reduce work force and enhance production.
View ProjectPython programming
Unknown
June 1, 2026 – Present
Data Science with Generative AI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and initiative in applying AI/ML to diverse problems (agronomy, vehicle identification, manufacturing). The ML Mentor role indicates a willingness to share knowledge. The breadth of technical skills and project diversity suggest a good cultural fit for an innovative AI engineering team, though the experience level is junior.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, communication, and teamwork as soft skills. The ML Mentor role suggests some ability to explain complex topics. However, without direct assessment data, the operational fit regarding collaboration and stress handling remains unverified.