Dual-degree Computer Science & Data Science undergraduate building deterministic multi-agent AI systems, contextual anomaly detection pipelines, and fault-tolerant backend microservices.

Currently pursuing:

• 🎓 BS in Data Science and Applications at the Indian Institute of Technology, Madras (IIT Madras)
• 🎓 Undergraduate in Computer Science & Engineering (Class of 2027)

Leadership & Operations:

• 🏢 City Operations Head @ Boundless (IIT Madras)
• 🏢 Project Executive & Facilitator @ Bajaj Foundation (driving partner deals, budget optimization, and project execution across Telangana)
• 🎓 Ex-Intern @ IIIT Hyderabad (IIIT-H)

Beyond Code:

• 🎹 8th Grade Certified Musician & Educator (Indian Fine Arts Association, Visva-Bharati University) with 4+ years of teaching experience mentoring 100+ students across Keyboard, Tabla, Jazz Drums, Harmonium, Octapad, Violin, and Dholak.

┌──────────────────┬────────────────────────────────────────────────────────────────────────┐
│ Area             │ Focus & Real-World Impact                                              │
├──────────────────┼────────────────────────────────────────────────────────────────────────┤
│ 🚨 RescueNet-AI  │ 10-Agent emergency response orchestrator (CrewAI • FastAPI • AWS)      │
│ 🛡️ datadrishti    │ Paytm IntentGuard: Behavioral UPI anomaly layer (MAD baselines • ML)   │
│ 🏢 Bajaj Fdn     │ Project Executive: Deal negotiation, budget optimization & analytics   │
│ 🎨 Chitran Core  │ Web platform engineering (chitraninstitute.com) & Music Faculty        │
└──────────────────┴────────────────────────────────────────────────────────────────────────┘

Deterministic multi-agent pipeline designed to eliminate multi-agency communication bottlenecks during rapid-onset urban flooding.

graph LR
    CALLS[Raw Distress Ingestion] --> A1[1. Incident Understanding]
    A1 --> A2[2. Disaster Intelligence]
    A2 --> A3[3. Survivor Probability]
    A3 --> A4[4. Medical Triage]
    A4 --> A5[5. Priority Scoring]
    A5 --> A6[6. Resource Allocation]
    A6 --> A7[7. Hospital Coordination]
    A7 --> A8[8. Risk Prediction]
    A8 --> A9[9. Twilio Alerts]
    A9 --> A10[10. Master Rescue Plan]

• Architecture: Coordinates 10 specialized CrewAI agents governed by strict Pydantic input/output schemas to prevent hallucination in emergency dispatches.
• Regional Emergency Datasets: Ingests and geocodes real Telangana infrastructure registries (100+ vetted hospitals, 108 ambulance depots, fire stations, and NDRF rescue battalions).
• Automated Dispatches: Formats and triggers real-time Twilio SMS, IVR synthetic voice calls, and Next.js live geospatial map tracking in under 45 seconds.

Behavioral anomaly detection layer protecting UPI transfers against coercion, distress, and panic-induced financial fraud.

• The Problem: Standard binary fraud blockers block safe high-value transfers (e.g. ₹50,000 monthly rent to a known landlord) while missing authorized transactions made under duress or panic.
• Personal Baseline Analytics: Evaluates transactions against personal Median and Median Absolute Deviation (MAD) distributions rather than vulnerable arithmetic averages.
• 6 Calibrated Risk Signals: Evaluates Amount Anomaly (+30), Recipient Novelty (+20), Device Novelty (+20), Time Anomaly (+15), Geo Anomaly (+10), and Velocity Surges (+5).
• Adaptive Friction Policies: Maps scores from frictionless 1-tap transfers (0–30) to step-up biometrics (56–80) and out-of-band hold verification (>80).

Dual-stage computer vision inspection engine coupling classical morphology with supervised machine learning.

• Inspection Pipeline: Implements a dual-stage architecture: classical spatial morphology (Sobel/Otsu contour localization) identifies physical defect boundaries, while a trained Random Forest Classifier (93% accuracy) evaluates 7 optical features.
• Production Deployment: Containerized in Docker, deployed on Render with an interactive inspection console and sub-100ms inference API endpoints.

High-reliability REST backend enforcing aviation safety compliance, aircraft maintenance dispatch, and training sortie workflows.

• Domain Compliance: Implements civil aviation sortie authorization workflows, validating student flight syllabus prerequisites, instructor endorsements, and aircraft airworthiness states (AIRWORTHY, MAINTENANCE_HOLD, GROUNDED).
• Security & Database: Role-Based Access Control (RBAC) with JWT tokens enforcing permission scopes across 5 user tiers with an automated PostgreSQL seed pipeline.

Comprehensive digital web platform built for a premier 23-year-old arts and skill academy in Hyderabad.

• Platform Architecture: Designed a responsive, mobile-first frontend supporting 10+ specialized fine art mediums, curriculum roadmaps, and admissions workflows.
• Performance & Conversion: Sub-second DOM load times, interactive course exploration modals, and direct WhatsApp Business API conversion funnels.

• Indian Institute of Technology, Madras (IIT Madras)
  Bachelor of Science (BS) in Data Science and Applications
• Undergraduate Studies in Computer Science & Engineering
  Class of 2027
• Indian Fine Arts Association (IFAA), Visva-Bharati University
  8th Grade Senior Diploma in Music & Classical Instruments
• MSME Certified Training Faculty (Govt. of India)
  Fine & Performing Arts Pedagogy