Available for Internships & Research Roles

Srishti
Pathak

ML Engineer & Full-Stack Developer — building intelligent systems at the intersection of machine learning, full-stack engineering, and cybersecurity. 9.29 CGPA · Central University of Jharkhand.

9.29
CGPA / 10
3
IIT Internships
6+
Projects
Hackathon Winner

About

Who I Am

I'm a 3rd-year Integrated B.Tech–M.Tech student in Computer Science & Engineering at Central University of Jharkhand, Ranchi — maintaining a 9.29/10 CGPA.

My work spans Machine Learning (anomaly detection, RAG-based AI, computer vision), full-stack development (MERN, Node.js, Flutter), and cybersecurity (ethical hacking, pen-testing at C-DAC / MeitY).

Currently interning at IIT BHU, building a Smart Room Scheduler with Google Calendar API integration. Previously at IIT Patna under Dr. Rahul Mishra and C-DAC, Ministry of Electronics & IT, Government of India.

National-level paper presenter on Cybersecurity in AI-ML, multi-hackathon winner, and inter-college volleyball champion.

DegreeIntegrated B.Tech–M.Tech, CSE
CGPA9.29 / 10
UniversityCentral University of Jharkhand
LocationRanchi, Jharkhand, India
Graduating2027
LanguagesEnglish, Hindi

Skills

Technical Expertise

🤖
ML / AI
Scikit-learnPandasNumPy OpenAI LLMRAGPinecone Computer VisionOCRNLP Anomaly DetectionFastAPI
💻
Languages
PythonC++Java JavaScriptTypeScriptC
🌐
Web & Mobile
ReactNode.jsExpress MongoDBFlutterReact Native HTML5CSS3Vercel
🔒
Cybersecurity
Penetration TestingVuln. Assessment Network SecurityGovt. Frameworks
🛠
APIs & Tools
Google Calendar APIOAuth 2.0 GitFirebaseSupabase PostmanLinux
⚙️
Core CS
DSAOOPOS Computer NetworksDBMS

Experience

Work History

Jun 2025 — Present
IIT BHU
Varanasi
R&D Software Intern
  • Designing and building Smart Room Scheduler — a full-stack intelligent room booking system for IIT BHU faculty, deployed live on Render.
  • Integrated Google Calendar API & OAuth 2.0 for automated event creation, meeting sync, and attendee invitations.
  • Engineered real-time room availability APIs with conflict detection across seminar halls, labs, and conference rooms.
Node.jsExpress Google Calendar APIOAuth 2.0LowDB
May — Jul 2025
IIT Patna
Dept. of CSE
Full-Stack Web Development Intern
  • Built Quiz Pariksha — a responsive full-stack exam platform enabling real-time test-taking and result generation.
  • Developed EV Lab Interns Website and Intern Portal as team R&D projects under Dr. Rahul Mishra's supervision.
ReactNode.js MongoDBHTML/CSS/JS
Feb — Apr 2025
C-DAC, MeitY
Govt. of India
Ethical Hacking & Penetration Testing Intern
  • Conducted vulnerability assessments and penetration tests on network systems to identify and mitigate security weaknesses.
  • Implemented security frameworks aligned with C-DAC's government-grade security standards.
Penetration TestingNetwork Security Vulnerability Assessment

Projects

What I've Built

AI · Mobile
B.R.A.V.O — AI Fitness & Nutrition App

Mobile app generating personalised workout and diet plans using a RAG-based AI chatbot with OpenAI LLM + Pinecone vector DB. Features calorie tracking, macro planning, and goal-based fitness routines.

AI · Health
AudiCare — Smart Health Diagnostic Platform

AI-driven diagnostics for multimodal symptom assessment using Computer Vision (OCR) and NLP. Virtual assistant for real-time triage; improves medication accessibility for visually impaired users.

Full-Stack · IIT BHU
Smart Room Scheduler

Faculty room booking platform with real-time conflict detection and Google Calendar sync. OAuth 2.0 login, availability APIs, and automated attendee invitations. Live on Render.

Full-Stack · IIT Patna
Quiz Pariksha — Exam Platform

Responsive quiz and examination system enabling students to take tests, track performance, and view progress analytics. Built end-to-end from UI to backend with cloud deployment.

Machine Learning
Network Anomaly Detection

ML pipeline analysing unstructured network traffic to detect abnormal patterns using supervised and unsupervised classification/clustering algorithms on real-world security data.

Research · Security
Hybrid ML–Blockchain Security Framework

Hybrid architecture combining ML-based anomaly detection with blockchain-based secure logging for IoT environments. Presented at the National Seminar on Cybersecurity in AI-ML (CSI, CUJ).

Achievements

Awards & Recognition

🥇
WebSprint Hackathon
CCPC — 24 hrs
Intra-College
🥇
Volleyball — Amiphoria
Amity University, Ranchi — 4 days
Inter-College
🥈
Memathon — Cyber Jagrit Week
CCPC & CSI — 12 hrs
Intra-College
6th
National Hackathon
Usha Martin University, Ranchi — 24 hrs
National
📄
Paper Presentation
Nat'l Seminar: Cybersecurity in AI-ML, CSI/CUJ
National
🎓
NPTEL — Programming in Java
Jul – Nov 2024
Certification

Contact

Let's Connect

I'm actively looking for internship and research opportunities in Machine Learning, AI, and Full-Stack Development — especially roles at the intersection of both.

Whether it's a project collaboration, research position, or just a conversation about tech — my inbox is always open.

Send Message →