💻 B.Tech CSE (Data Science) @ Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar '28
🔬 Summer Research Intern @ NIT Rourkela (Deep Learning for Agriculture • Cyber Security)
🤖 Machine Learning Intern @ FlyRank AI, Chicago
🏭 Ex-Intern @ Steel Authority of India Limited (C&IT) • eWarn Systems Pvt. Ltd.
🎓 McKinsey Forward Scholar • NSS Volunteer (Project Udaan)

const Tapananshu = {
  pronouns    : "he/him",
  code        : ["Python", "JavaScript", "Java", "C"],
  frameworks  : ["Flask", "Bootstrap", "Tailwind", "Tkinter"],
  currently   : ["Deep Learning for Agriculture @ NIT-R", "ML @ FlyRank AI, Chicago"],
  domains     : ["Computer Vision", "Deep Learning", "IoT", "Cyber Security"],
  hobbies     : ["Hackathons", "Tech Events", "Debugging Life", "Figma Aesthetics"],
  motto       : "Learn → Build → Break → Repeat 💥"
}

🖥️ I'm an enthusiastic tech explorer who loves creating meaningful solutions. Whether it's real-time AI systems, hands-on IoT integrations, or enterprise-scale industrial tech — I enjoy turning complex problems into clean, elegant, and scalable solutions. From surveillance pipelines to drone aerodynamics, I build things that push limits.

• Deep Learning for Agriculture and Cyber Security (NIT Rourkela, Dept. of CSE)
• Machine Learning systems and applied AI pipelines (FlyRank AI)
• Real-time detection and surveillance pipelines (YOLOv8, ASTNet, MediaPipe)
• IoT telemetry, sensor fusion, and embedded automation systems
• Enterprise technology — SAP/ERP, PLC/SCADA, Industry 4.0, industrial AI
• Desktop-first AI tools with clean UX and reliable workflows

• Ship proof-of-value early, then harden for reliability
• Design UI that makes advanced tools feel simple
• Prefer measurable impact and real-world problem solving

Dept. of Computer Science & Engineering

• Conducting applied research in Deep Learning for Agriculture and Cyber Security.

• Interning at FlyRank AI, focusing on applied Machine Learning systems and pipelines.

• Explored SAP & ERP systems managing enterprise-wide operations across 10,000+ employees on a single integrated backbone.
• Studied PLC & SCADA systems controlling industrial processes to millisecond precision in large-scale manufacturing environments.
• Understood Industrial Networking infrastructure carrying thousands of real-time signals across the entire plant without interruption.
• Attended sessions on Data Center & Server infrastructure powering the plant's enterprise applications and automation layers.
• Explored AI-based Predictive Maintenance systems using ML to detect equipment anomalies before failure — witnessed Industry 4.0 running live at national scale.
• Gained practical understanding of how technology, automation, and human coordination work together inside one of India's most critical industrial institutions.

• Completed McKinsey's competitive forward-thinking leadership and problem-solving program.

Computer Vision • AI Model Development • Real-Time Monitoring

• Built CrimeNetra — a real-time desktop surveillance system using Python, OpenCV, ASTNet (attention-based spatial-temporal network), YOLOv8, and MediaPipe pose estimation, achieving ~90% detection accuracy across 7+ crime and harassment detection categories. Integrated RTSP/IP camera feeds with adaptive thresholds, live alerts, and automated evidence logging via a Tkinter GUI.
• Built an Elephant Detection System using YOLOv8 and IP cameras for AI-driven wildlife monitoring, processing live video at 25+ FPS to support early-warning alerts that mitigate human-elephant conflicts.
• Supported & deployed a Smart Traffic Management System with lane-wise vehicle detection across 4+ lanes, enabling real-time traffic flow analysis and adaptive signal control.
• Gained hands-on experience in embedded systems and PCB design — including manual override circuits and EagleCAD layout design.
• Attended specialised sessions by Scientech Technologies (PCB Design with TINA Suites) and Shuchismita Sahu (AI/ML Applications | Inflera.ai, ex-BITS Pilani).

Aeromechanics Lab, NIT Rourkela

• Completed an intensive 5-day hands-on drone development bootcamp covering the full pipeline from design to real-time flight testing across 3+ flight controller platforms (Pixhawk, KK2, APM).
• Configured and fine-tuned flight controllers using Mission Planner — including GPS, telemetry, ESC, and sensor calibration (gyroscopes, accelerometers, compasses) — achieving stable autonomous flight.
• Assembled complete drone hardware from scratch — frame construction, motor integration, wiring of GPS, ESCs, and controllers — and conducted thrust stand tests across 4+ aerodynamic parameters.
• Implemented battery safety mechanisms, current sensing, and power distribution systems for reliable multi-module UAV setups.
• Integrated AI capabilities for autonomous flight, real-time object detection, and onboard decision-making; explored IoT-based swarm coordination and multi-drone networked telemetry.
• Designed 3D drone components in CATIA (Dassault Systèmes) and prototyped using ANYCUBIC 3D printing.

TI-310, FTBI, TIIR Building, NIT Rourkela • IoT • Embedded Systems • AI Integration

• Engineered 3 end-to-end IoT systems on ESP32, Arduino Uno, and Arduino Mega — integrating a 9-sensor suite (DHT11, BMP085, MPU6050, MQ135, flame, piezo, ACS712, ZMPT101B) for environmental, safety, and power monitoring.
• Developed OLED-based real-time monitoring interfaces and a browser-based control panel; implemented 4-mode device communication — WiFi, Bluetooth, LoRa, and Free Space Optics (FSO).
• Built a Smart Home Automation System on ESP32 with temperature/humidity sensing, fan and light control via Arduino Cloud with OLED live display and 4-mode connectivity.
• Built an AI-Based Face Recognition Attendance System using Flask, OpenCV, and ML — automating attendance logging with an admin browser dashboard, reducing manual entries to zero.
• Contributed to a Smart Energy & Safety Monitoring System on ESP32 integrating ACS712 and ZMPT101B for power monitoring across 4 relay-controlled appliances, alongside DHT11, MQ135, and flame sensor for environmental and fire safety.

• Contributing towards gender equality (SDG 5) and reduced inequalities (SDG 10) by spreading awareness and supporting community initiatives under NSS SCE KIIT.

• CipherByte Technologies — Web Development Intern
• CodeAlpha — Frontend Web Developer Intern
• Oasis Infobyte — Web Development & Designing Intern

_{Languages: Python • Java • JavaScript • C • HTML • CSS
Frameworks: Flask • FastAPI • Django • Express • React • Next.js • Tailwind • Bootstrap
AI/Data: TensorFlow • PyTorch • scikit-learn • NumPy • Pandas • Matplotlib • Jupyter • OpenCV
DevOps/Cloud: GitHub Actions • Docker • Kubernetes • Nginx • Terraform • AWS • Azure • Google Cloud
DB: SQLite • MySQL • PostgreSQL • MongoDB • Redis
Hardware/CAD: ESP32 • EagleCAD • CATIA • Pixhawk • Mission Planner • ANYCUBIC 3D Printing
Tools/Platforms: VS Code • Eclipse • Postman • Linux • Bash • Arduino • Raspberry Pi • Firebase • Git/GitHub • Figma • Android Studio • Flutter}

Currently exploring: Deep Learning for Agriculture, Cyber Security, Applied ML Pipelines, YOLOv8, Streamlit, LoRa, Real-Time Dashboards

💥 I debugged my first JS loop while sipping Rasna and haven't stopped since.

"Coding is cool, but solving real problems? That's 🔥."

If you'd like to collaborate on AI/ML, Deep Learning, Computer Vision, or IoT systems — feel free to reach out. Always happy to build meaningful things with motivated people.