About
Highly motivated B.Tech student specializing in Computer Engineering with a robust foundation in AI/ML and Data Science. Proven ability to develop and optimize machine learning models, analyze complex datasets, and implement real-time systems, demonstrated through internships at DRDO, impactful projects, and competitive programming achievements. Seeking challenging roles to leverage expertise in Python, SQL, and leading ML/AI frameworks to drive innovative, data-driven solutions.
Work
AMAZON
|ML Summer School Participant
Remote, N/A, Global
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Summary
Engaged in an intensive machine learning program, applying advanced techniques to solve real-world problems and optimize diverse ML models.
Highlights
Applied supervised and unsupervised machine learning techniques using Python libraries including scikit-learn, NumPy, and pandas to address real-world problems.
Built and optimized diverse ML models across multiple domains, consistently achieving accuracy scores above 95%.
DRDO DLJ
|ML Project Intern
Rajasthan, Rajasthan, India
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Summary
Spearheaded the development of real-time face detection and recognition systems, integrating advanced ML algorithms for enhanced accuracy and data analysis.
Highlights
Implemented a real-time face detection system using Pandas, OpenCV, and NumPy, processing webcam input for data analysis and storage.
Developed a facial recognition system leveraging the K-nearest neighbors (KNN) algorithm to accurately identify individuals.
Identified and resolved critical issues in face recognition outputs, refining system performance to minimize errors and significantly enhance accuracy.
USIP-DTU
|Data Analyst
Delhi, Delhi, India
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Summary
Modernized data infrastructure and improved scheduling efficiency through automated data analysis and professor collaboration.
Highlights
Modernized data infrastructure for minor subject analysis, transitioning from manual spreadsheets to automated SQL queries, reducing analysis time by 40%.
Empowered faster schedule adjustments and enhanced data accessibility for academic stakeholders.
Collaborated with professors to optimize semester scheduling efficiency and operational workflows.
Outlier Ai
|Coding AI Model Trainer (Freelance)
San Francisco, California, US
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Summary
Developed and refined Large Language Models (LLMs) by crafting and testing coding prompts, significantly boosting model accuracy and performance.
Highlights
Authored and curated over 200 coding prompts, rated 1-10, used to train LLMs for improved performance.
Applied iterative retraining methodologies to boost LLM accuracy from 68% to 85% within a short timeframe.
Assessed LLM performance by testing with custom-written prompts and classifying responses for accuracy against Python program outputs.
Volunteer
Inferno Society, Cultural Council DTU
|Machine Learning Lead / Tech Co-Head
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Summary
Led technical teams in Machine Learning and LLM development, fostering innovation within academic societies at Delhi Technological University.
Highlights
Led a team within the Inferno Society, driving the development and application of ML/LLM models.
Co-headed technical initiatives for the Cultural Council DTU, promoting innovation in AI/ML technologies.
EngiFest '23 / Smart India Hackathon '23
|Event Organizer
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Summary
Organized major cultural and technical events, demonstrating leadership and project management skills within a university setting.
Highlights
Coordinated EngiFest '23, India's largest cultural fest, managing logistics and participant engagement for a large-scale event.
Organized Smart India Hackathon '23, overseeing event execution and supporting participants through various stages.
Education
Delhi Technological University
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B.Tech
Computer Engineering
Grade: 7.82/10 (1st-8th sem)
The Vivekanand Sr. Sec. School
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CBSE (Class XII)
Science
Grade: 88%
Shiva Shiksha Sadan
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CBSE (Class X)
General Studies
Grade: 89.2%
Awards
Amazon ML Summer School Selection
Awarded By
Amazon
Selected from over 100,000 applicants for Amazon's prestigious Machine Learning Summer School.
Competitive Programming Ratings
Awarded By
Leetcode, Codeforces
Maintained strong competitive programming ratings on Leetcode (1866) and Codeforces (1500+), showcasing advanced algorithmic and problem-solving abilities.
Smart India Hackathon 2023 Finalist
Awarded By
Ministry of Education – Government of India
Successfully advanced through internal rounds of a national-level hackathon, demonstrating strong problem-solving and technical skills.
All-India Rank 2170, IIT JEE Mains
Awarded By
IIT JEE
Achieved a top rank among 2 million candidates in India's highly competitive engineering entrance examination.
99th Percentile in Science and Maths Olympiad
Awarded By
Olympiad Organizers
Achieved exceptional performance in Science and Mathematics Olympiads, ranking in the top 1% nationally at secondary level.
NTSE Stage-1 Scholar
Awarded By
NCERT
Qualified for the National Talent Search Examination Stage-1, recognizing academic excellence at a national level in Class 10th.
Skills
Programming Languages
C, C++, Python, SQL.
Machine Learning & Data Science Libraries
NumPy, Pandas, Scikit-learn, Matplotlib, PyTorch, OpenCV, Tensorflow-keras, LangChain, Ollama.
Tools & Technologies
Git, GitHub, VSCode, HTML, CSS, Latex, Power BI, Excel.