NIKITA GUPTA

Technical Research Intern | AI/ML Engineer | Data Scientist

Himachal Pradesh, IN.

About

Highly motivated and results-driven Electrical Engineering student with a strong foundation in Machine Learning, AI, and Data Science. Proven ability to apply advanced analytical techniques to solve complex problems, as demonstrated through technical research internships at Siemens and Tata Consultancy Services. Skilled in developing innovative solutions, optimizing processes, and leading initiatives, with a commitment to leveraging technology for impactful outcomes.

Work

Tata Consultancy Services

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Research Internship

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Summary

Focused on improving power system state estimation accuracy by integrating diverse data sources using advanced machine learning techniques.

Highlights

Addressed the challenge of enhancing power system state estimation accuracy by integrating abundant SCADA data with precise PMU measurements, overcoming PMU deployment limitations.

Designed and implemented a machine learning algorithm utilizing Gaussian Process Regression to synthesize PMU-like values from SCADA data, significantly improving state estimation accuracy for robust power grid monitoring.

Siemens

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Technical Research Intern, GenAI

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Summary

Contributed to enhancing software compliance workflows and ensuring ethical AI behavior by developing advanced algorithms and conducting in-depth research on LLM guardrails.

Highlights

Identified and addressed a critical inefficiency in FOSSology's copyright analysis, where false positives led to significant manual review effort and slowed compliance workflows.

Engineered and implemented a novel algorithm leveraging distance methods and lexical analysis to accurately detect and flag false positive copyright cases, reducing manual validation needs.

Significantly streamlined copyright validation processes, enhancing tool efficiency and reducing manual effort for software compliance teams.

Conducted comprehensive research and evaluation of Large Language Model (LLM) "guardrail" frameworks and open-source tools, focusing on mechanisms to prevent harmful outputs and ensure ethical AI behavior.

Analyzed critical challenges and limitations within existing guardrail implementations, proposing actionable improvements to enhance the effectiveness and robustness of Siemens' AI safety protocols.

Volunteer

Club Secretary

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SPICMACAY, IIT Mandi

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Led and organized cultural events to enrich student life and promote artistic engagement within the institute.

Highlights

Orchestrated and led cultural events featuring renowned artists, enriching the campus experience for students and faculty.

Club Co-coordinator

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Music Club, IIT Mandi

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Facilitated student learning and engagement in music through organized events and activities.

Highlights

Initiated and managed educational events to foster student learning and engagement within the Music Club.

Sponsorship Head

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Astrax, IIT Mandi

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Managed sponsorship acquisition for major campus events, ensuring financial viability and success.

Highlights

Secured sponsorships for the annual Astronomy Fest, ensuring successful event execution and resource allocation.

Education

Indian Institute of Technology, Mandi

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B.Tech Electrical Engineering Grade: 7.63 CGPA

Courses

Data Structure and Algorithm

Machine Learning

Computing and Data Science

Computer Networks

Operating System

DBMS

Data Handling and Visualisation

Probability and Statistics

Computer Organisation

Engineering Mathematics

Awards

CP101

IIT Mandi

Ranked in the top 10 in a competitive programming contest among 300 participants, demonstrating strong algorithmic and problem-solving skills.

E-cell Business Case Study Competition

IIT Mandi

Secured 1st place in the Business Case Study competition, showcasing strong analytical and strategic capabilities.

ACM-W Debugging Contest

IIT Mandi

Secured 4th Position in a challenging Debugging contest, highlighting proficiency in code analysis and error resolution.

Languages

English

Fluent

Skills

Programming Languages

Python, C++, HTML/CSS, Javascript, Verilog.

Machine Learning & Data Science

Machine Learning, Deep Learning, Natural Language Processing (NLP), Gaussian Process Regression, Naive Bayes, XGBoost, Random Forest, Logistic Regression, K-Means, Scikit-learn, Numpy, Pandas, Matplotlib.

Developer Tools & Platforms

VS Code, Git, GitHub, Xilinx Vivado, MATLAB, LT Spice.

Web Development

HTML, CSS, Front-end Development.

Database Management

DBMS.

Projects

Netflix Clone

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Summary

Independently developed a customized front-end clone of the Netflix website, demonstrating proficiency in web development.

Fault Detection in Power System

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Summary

Developed an advanced machine learning solution to enhance the reliability and efficiency of fault detection within complex power systems.

Sign To Speech Conversion Gloves

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Summary

Designed and developed innovative gloves capable of converting sign language into speech and text, integrating sensor technology with machine learning.

Stock Sentiment Analysis from News Headlines

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Summary

Developed a machine learning-based system to predict stock market movements based on news headlines, involving comprehensive data preparation and model training.