Hi, I’m Abhishek Baradwaj, a curious AI/ML enthusiast with a strong foundation in building end-to-end AI solutions. I enjoy crafting practical models that solve real-world problems, with a focus on privacy-preserving offline capabilities and explainable results. I thrive in collaborative environments, love sharing knowledge with peers, and continuously learn new tools and techniques to deliver impactful results in AI, machine learning, and software development.

Abhishek Baradwaj

Hi, I’m Abhishek Baradwaj, a curious AI/ML enthusiast with a strong foundation in building end-to-end AI solutions. I enjoy crafting practical models that solve real-world problems, with a focus on privacy-preserving offline capabilities and explainable results. I thrive in collaborative environments, love sharing knowledge with peers, and continuously learn new tools and techniques to deliver impactful results in AI, machine learning, and software development.

Available to hire

Hi, I’m Abhishek Baradwaj, a curious AI/ML enthusiast with a strong foundation in building end-to-end AI solutions. I enjoy crafting practical models that solve real-world problems, with a focus on privacy-preserving offline capabilities and explainable results.

I thrive in collaborative environments, love sharing knowledge with peers, and continuously learn new tools and techniques to deliver impactful results in AI, machine learning, and software development.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Intern at Boston COE — RV College of Engineering
September 1, 2025 - Present
Developed a personalized breast cancer treatment recommendation system using a fine-tuned small language model for clinical decision support. Trained and evaluated the model on TCGA-BRCA clinical datasets using structured medical prompting and feature-driven personalization. Deployed real-time inference pipelines using FastAPI, enabling interactive treatment recommendations and follow-up guidance. Emphasized explainability, patient-specific personalization, and post-treatment monitoring in model design.
Intern - AI/ML at Bharat Electronics Limited (BEL)
October 1, 2023 - November 1, 2023
Enhanced an AI-powered offline file summarizer using Hugging Face FLAN-T5 pre-trained model to process PDF, DOCX, and TXT files, generating concise summaries of 25–30-page documents. Integrated the model to function offline, enabling efficient text extraction, preprocessing, and summarization while ensuring data privacy and reducing dependency on cloud services. Optimized model performance for accuracy and speed, achieving a 40% reduction in manual review time for lengthy technical documents. Achieved 92% accuracy in summary coherence (ROUGE metrics) through hyperparameter tuning.

Education

Bachelor of Engineering in Artificial Intelligence and Machine Learning at R V College of Engineering, Bengaluru
January 1, 2022 - January 1, 2026
Intermediate Education in Science at ALVAS PU COLLEGE, Moodabidri
January 1, 2020 - January 1, 2022
High School (ICSE) at ALVAS HIGH SCHOOL, Moodabidri
January 1, 2018 - January 1, 2020

Qualifications

IEEE Hackathon Finalist — Drug Prediction and Inventory Management
January 11, 2030 - January 4, 2026
Young Turks Skill Assessment — Naukri
January 11, 2030 - January 4, 2026
Ranking of entrance exams: JEE MAINS AIR 50000, COMEDK AIR 2500, KCET 7500
January 11, 2030 - January 4, 2026

Industry Experience

Software & Internet, Healthcare, Education, Professional Services