AI Engineer with less than a year in NLP, Computer Vision & Data Analytics
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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
Sentiment Analysis of Product/Clinical Reviews
June 1, 2026 – Present
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 ProjectSalary Prediction System
June 1, 2026 – Present
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 ProjectSmart Resume Generator
June 1, 2026 – Present
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 ProjectReal-Time Vehicle Detection & Monitoring
June 1, 2026 – Present
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 ProjectGPS-Denied UAV Navigation
June 1, 2026 – Present
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 ProjectAI using TensorFlow
Infosys
June 1, 2026 – Present
Python using AI
Be10X
June 1, 2026 – Present
Java Bootcamp
LetsUpgrade
June 1, 2026 – Present
JavaScript Fundamentals
Simplilearn
June 1, 2026 – Present
Robotics
Ediglobe Technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover a diverse range of AI applications, including NLP, predictive modeling, computer vision, and sensor fusion, indicating a broad interest and adaptability. The internships at IBM and CDAC, along with organizing a symposium, demonstrate a proactive and collaborative mindset. The alignment of project descriptions with potential industry applications (e.g., pharma market feedback, HEOR) suggests a business-oriented approach, which is a good cultural fit for companies focused on practical AI solutions.
Soft Skills & Operational Fit
The candidate's project descriptions and internship achievements (e.g., 'Best Performer' award, organizing a symposium) suggest strong initiative, problem-solving skills, and the ability to work effectively in a team. The focus on real-time systems and data analytics indicates an operational fit for roles requiring practical application of AI.