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AI Engineer with less than a year in Deep Learning & NLP
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer with hands-on experience building deep learning pipelines using Python, PyTorch, and Transformer-based architectures. Strong foundation in NLP, embeddings, and text generation systems, with proven ability to design CNN and Transformer pipelines that achieved award-winning results at a national AI conference. Backend development experience with RESTful APIs, Docker, and cloud deployment (GCP, DigitalOcean) supports end-to-end delivery of AI-powered applications. Quick learner with a strong grasp of how Transformer models and embeddings work under the hood, well-positioned to ramp up rapidly on LLM frameworks such as LangChain, RAG pipelines, and vector databases.
St Thomas Institute for Science and Technology
B.Tech · Computer Science
N/A – June 30, 2025
Levich Solutions
Backend Developer
August 1, 2025 – February 1, 2026
India
HDLC Info Technologies
Data Science & ML Intern
May 1, 2023 – June 1, 2023
India
Backend & Cloud Infrastructure (Levich Solutions)
August 1, 2025 – February 1, 2026
Built and deployed production RESTful APIs and containerised services, directly applicable to deploying AI model-serving endpoints via Docker and cloud infrastructure. Set up CI/CD pipelines with GitHub Actions for automated build/test/deploy workflows — transferable to deploying ML inference services.
Be My Chef AI – AI-Powered Recipe Recommendation System
October 1, 2024 – March 1, 2025
Built an end-to-end generative AI pipeline that generates complete recipes from user-uploaded food images, combining CNN-based ingredient recognition with a Transformer-based text generation model (Chef Transformer). Designed the NLP text-generation architecture from the ground up — working directly with Transformer model internals, tokenization, and embeddings to produce coherent, context-aware recipe text. Achieved strong evaluation results: BLEU 0.3245, METEOR 0.4150, ROUGE-2 0.2470, Cosine Similarity 0.7282. Built a Streamlit interface supporting image upload, multiple persona selection, and interactive generation — handling the full application layer around the AI model via Python APIs. Won Best Paper Award at NCAISF'25 national AI conference for innovative generative AI solution design.
News Classification & Image Classification Systems (HDLC Internship)
May 1, 2023 – June 1, 2023
Built a news classification system using NLP techniques and a celebrity image classifier using deep learning and transfer learning — early hands-on exposure to applied NLP and CV pipelines.
Machine Learning Crash Course
January 1, 2023 – Present
Python Programming
Cokonet
January 1, 2022 – Present
Artificial Intelligence Program
Udemy
January 1, 2022 – Present
Machine Learning in Python & R
Udemy
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's involvement in FOSS United and leadership roles within it demonstrate a strong inclination towards open-source contributions and community building, which aligns well with collaborative and knowledge-sharing cultures. Their diverse project portfolio, ranging from academic generative AI to professional backend development, shows adaptability and a broad interest in technology. The explicit mention of 'ramping up' on new technologies indicates a growth mindset. The candidate's academic background and project work are highly relevant to an AI Engineer role, suggesting a good cultural fit for a technically driven environment.
Soft Skills & Operational Fit
The candidate demonstrates initiative and leadership through involvement in FOSS United, indicating strong community engagement and organizational skills. Their volunteer work suggests a commitment to social responsibility. The detailed project descriptions and professional summary indicate good communication skills. While direct operational fit for a senior role is limited by experience level, their backend and DevOps exposure suggests an understanding of deployment and MLOps principles.