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AI Engineer with less than a year in Data Science & Machine Learning
Pre final year B.Tech ECE student with a strong analytical foundation in mathematics, logical thinking, probability, and statistical modelling, paired with hands on experience translating data into decision ready insights. Skilled at applying first principles thinking to break down complex problems and build robust, data driven solutions. Experienced in building end to end data pipelines, predictive models, and anomaly detection systems awarded Best Intern among 50+ participants at IIT Guwahati TIDF. Proficient in SQL, Python, and statistical analysis, with a proven ability to learn complex domains quickly and deliver high quality results under deadlines.
Chandigarh Group of Colleges
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2023 – June 30, 2027
Dr. Radhakrishnan School of Arts, Commerce & Science
12th
June 1, 2023 – May 31, 2023
Shree Agrasen Academy
10th
June 1, 2021 – May 31, 2021
IIT Guwahati - Technology Innovation & Development Foundation (TIDF)
Summer Research Intern
June 1, 2025 – July 1, 2025
Guwahati, Assam, India
Misinformation Detection System (National Hackathon – Team Lead)
June 1, 2026 – Present
Led a 4-member team to build an ML powered system identifying AI generated content, fake news, and manipulated media across text, images, and video. Engineered a web scraping data pipeline feeding trained classification models to flag suspicious content in real time.
Statistical Anomaly Detection & Classification Pipeline
June 1, 2026 – Present
Built a multi node sensor pipeline in Python collecting live data streams, applying statistical noise filters, engineering features, and training TensorFlow models achieving 95%+ accuracy. Implemented real time anomaly detection: flagged statistical deviations from baseline patterns and generated structured observation logs per test run. Evaluated model performance using precision, recall, and accuracy metrics; iterated on feature engineering to improve robustness across varying sensor inputs.
Micro-Lending Platform (Hack N Win 2.0 – Team Lead)
June 1, 2026 – Present
Led a 4-member team to architect a peer-to-peer lending platform matching borrowers and lenders, with interest-based profit-sharing logic. Designed real-time matchmaking between financial stakeholders directly applying business problem modelling to a financial use case.
AWS Certified Solutions Architect
AWS
December 1, 2025 – Present
Machine Learning Onramp
MathWorks
October 1, 2025 – Present
Google AI Essentials
Google Cloud Skills Boost
March 1, 2025 – Present
Problem Solving (Intermediate)
Hacker Rank
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including anomaly detection, misinformation systems, and micro-lending platforms, shows a broad interest in applying technical skills to various domains. Their involvement in hackathons and workshops indicates a proactive and collaborative mindset. The target role of 'AI Engineer' aligns well with their project experience and certifications. However, the candidate is still pursuing a Bachelor's degree with limited professional experience, which might impact their immediate cultural fit for a senior-level role requiring extensive industry experience and independent decision-making.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and teamwork skills through hackathon team lead roles. Their experience as a Technical Workshop Coordinator suggests good organizational and communication abilities. The 'Best Intern' award highlights a strong work ethic and innovation. However, the psychometric test score is 0, which is insufficient to assess logical reasoning, work attitude, stress handling, and team collaboration. The English test score of 63 indicates average communication clarity, which could be an area for improvement in a senior role.