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AI Engineer with less than a year in NLP, Predictive Modeling & Computer Vision
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AI & Machine Learning graduate with hands-on experience building intelligent, data-driven systems — directly aligned with PharmSight's mission of providing advanced analytics and competitive intelligence to global biopharmaceutical companies. Experienced in NLP, predictive modelling, computer vision, and real-time data processing. Interned at IBM (awarded ₹4,000 stipend as Best Performer) and CDAC Noida. Eager to apply AI capabilities to HEOR, market forecasting, and pharma analytics.
Dr. A.P.J. Abdul Kalam Technical University (AKTU)
B.Tech · Computer Science & Engineering (AI & ML)
August 1, 2022 – June 30, 2026
Deep Memorial Public School
Senior Secondary
June 1, 2022 – May 31, 2022
Deep Memorial Public School
Secondary
June 1, 2021 – May 31, 2021
CDAC - Centre for Development of Advanced Computing
UAV Research Intern
February 1, 2026 – Present
Noida, Uttar Pradesh, India
IBM
Artificial Intelligence Intern
June 1, 2025 – July 31, 2025
New Delhi, Delhi, India
Salary Prediction System
June 1, 2026 – June 30, 2026
Developed a regression-based predictive model estimating outcomes from multi-variable structured data — methodology directly applicable to HEOR and market forecasting. Performed full analytics workflow: data preprocessing, EDA, model training, and evaluation using regression metrics.
View ProjectReal-Time Vehicle Detection & Monitoring
June 1, 2026 – June 30, 2026
Built a YOLO-based real-time detection and monitoring system processing live video streams — demonstrates capability in real-time data analytics and dashboard integration. Integrated monitoring dashboard logging counts, timestamps, and density metrics — transferable to real-time pharma market metrics and KPI tracking.
View ProjectSentiment Analysis of Product/Clinical Reviews
June 1, 2026 – June 30, 2026
Built a text classification system (Naive Bayes) categorising reviews as positive, negative, or neutral — directly applicable to pharma market feedback and patient sentiment analysis. Applied NLP pipeline: tokenisation, stop-word removal, stemming, TF-IDF vectorisation — core techniques for competitive intelligence text mining. Evaluated with accuracy, precision, recall, and confusion matrix - meeting industry analytics standards.
View ProjectSmart Resume Generator AI-Powered NLP Tool
June 1, 2026 – June 30, 2026
Built an AI-powered NLP tool extracting key skills from unstructured text and matching with structured job descriptions — similar to competitive intelligence information extraction. Designed a complete output pipeline producing structured, professional PDF reports — relevant to automated analytics delivery in pharma services.
View ProjectGPS-Denied UAV Navigation
June 1, 2026 – June 30, 2026
Developed a multi-sensor fusion navigation system operating under uncertainty — models complex real-world data integration, a core challenge in multi-source pharma analytics.
View ProjectPython using AI
Be10X
June 1, 2026 – Present
JavaScript Fundamentals
Simplilearn
June 1, 2026 – Present
Robotics
Ediglobe Technologies
June 1, 2026 – Present
AI using TensorFlow
Infosys
June 1, 2026 – Present
Java Bootcamp
LetsUpgrade
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a strong interest in applying AI to diverse domains, from sentiment analysis to UAV navigation, indicating adaptability and a broad technical curiosity. The academic background in Computer Science & Engineering (AI & ML) and internships at reputable organizations like IBM and CDAC suggest a drive for continuous learning and professional development. The projects are primarily personal, but the internship experiences provide exposure to corporate environments. The candidate's interest in competitive intelligence and market forecasting, as highlighted in the resume, aligns with business-oriented AI applications.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to work on complex problems, integrate various data sources, and deliver functional systems. The IBM Best Performer Award indicates a strong work ethic and quality orientation. Organizing a national symposium also points to leadership and organizational skills. The focus on real-time systems and data pipelines aligns well with operational requirements for deploying AI solutions.