Nidhi
Vinayak Kulkarni
Computer Science Student & AI/ML Researcher
Building intelligent systems at the intersection of AI, Game Theory, NLP, and Machine Vision.
Who I am
I'm a Computer Science student at RV College of Engineering (RVCE) with a passion for AI, machine learning, and game theory. My work spans data science, network security, generative AI, and economic modeling.
I thrive in building end-to-end ML solutions—from eco-epidemiological models integrating climate data to graph neural networks for intrusion detection. I'm experienced in hackathons, internships at Fortune 500 companies, and collaborative research. Currently leading the ML vertical at Google Developer Groups RVCE and serving as President of RVCE Women in Cloud.
Education
RV College of Engineering
B.E. Computer Science
Location
Bengaluru, India
Where I've worked
Summer Technology Intern (Upcoming)
Deutsche Bank
Bengaluru, India
Incoming summer technology internship at Deutsche Bank.
Data Science Intern / Project Contributor
Juniper Networks
Bengaluru, India
Developed an OT/IT asset discovery and anomaly detection system for Industrial Control System (ICS) security, identifying 90% of network assets across multiple subnets. Implemented LogBERT and Autoencoder-based anomaly detection with late fusion, achieving 94% accuracy in log-based threat detection, enhancing network visibility and security posture.
Data Science Intern
Ambee
Bengaluru, India
Developed eco-epidemiological models integrating ILI (Influenza-Like Illness) records with climate data. Engineered Python pipelines using Rasterio and GeoPandas to automate preprocessing of large-scale weather and solar radiation datasets. Leveraged QGIS for spatial joins and multi-layer visualization, transforming raw raster data into actionable insights for predictive models.
Career Preview Program - II
Hewlett Packard Enterprise
Bengaluru, India
Engineered an end-to-end machine learning solution to predict hardware and software downtimes. Developed and Dockerized the complete ML pipeline to ensure environment consistency and scalable deployment, transforming raw system logs into proactive maintenance alerts.
Things I've built
A selection of projects spanning AI research, security, and engineering.
Multi-Modal Learner Style Identification & AI Content Generation
Developed an AI-driven personalized learning platform that identifies student learning styles using VARK assessments and behavioral interaction data, leveraging BERT-based NLP and Retrieval-Augmented Generation (RAG) to generate personalized learning content. Integrated AI-based video generation and implemented a sign language conversion module with 97% accuracy to improve accessibility and engagement.
AI Powered-Operational technology Security Dashboard: Juniper Networks
Developed an OT/IT asset discovery and anomaly detection system for Industrial Control System (ICS) security, capable of identifying 90% of network assets across multiple subnets and detecting diverse industrial and IT protocols. Implemented LogBERT and Autoencoder-based anomaly detection with a late fusion layer, achieving 94% accuracy in log-based threat detection, enhancing network visibility and security posture in ICS environments.
Agent-based Analysis of Pricing Strategies in Cloud Service Market
Built a game-theoretic simulation of oligopolistic cloud market competition, modeling a two-stage dynamic game where providers optimize pricing and capacity while consumer agents maximize utility under switching costs. Computed Subgame Perfect Nash Equilibria (SPNE) using iterative best-response methods. Developed a Next.js dashboard to visualize equilibrium convergence and market concentration.
Research & writing
Peer-reviewed papers and research contributions.
Securing ML Models on Websites: Face Recognition and Spoof Detection via IPFS Blockchain
Sport-Driven Psychological Recovery: A Graph Centric, Sentiment-Aware Machine Learning Framework
Exploring the Evolution of Gender Equality in Sports: A Global and Intersectional Analysis
Highlights & wins
Recognition, milestones, and moments worth noting.
Seiko Award Winner - IISC Cognisance Arena
Won Seiko Award (Rs 30,000) at Indo-Japan Startup Competition at Indian Institute of Science.
HPE Think-a-Thon 2025 Winner
Won HPE's internal hackathon for innovative solutions.
ACM Winter School 2025 at IISc Bangalore
Attended prestigious ACM Winter School for Edge AI at Indian Institute of Science.
Top 25 in DEKODEX - IIT Kharagpur
Ranked in top 25 among 750+ participants across India in DEKODEX coding competition.
NPTEL Topper Awards
Data Science for Engineers - Top 2%, AI for Economics - Top 5%
Competitive Exam Excellence
JEE Mains: 98.5 percentile, JEE Advanced: AIR 13K (Allotted IIT Indore), KCET: AIR 295, ComedK: AIR 108
My toolkit
Technologies and tools I work with regularly.
Languages
Data Science & ML
NLP & Generative AI
Graph & Network ML
Databases & Backend
DevOps & Cloud
Tools & Platforms
Other
Leadership & community
Roles where I've led, mentored, and contributed beyond code.
President
RVCE Women in Cloud Insider Circle
Founding member of this student chapter supported by Women in Cloud, USA. Brought in Rs. 10K-20K in sponsorships and created an active online coding community of 300+ students. Organizer for Code and Coffee DSA event and Ideathon.
Machine Learning Lead
Google Developer Groups (GDG), RVCE
Leading the ML vertical with over 150 members. Responsible for organizing and designing GDG events, fostering collaboration and knowledge sharing in machine learning and AI.
Let's connect
Open to internships, research collaborations, and full-time opportunities.
Whether you have a project idea, a research opportunity, or just want to chat about AI — my inbox is always open.
Say hello