manas@bridge:~$ ▊-
Output: authenticated as manas

MANAS THAKUR

AI/ML Engineer • Backend Developer

Computer Vision • Deep Learning • Intelligent Systems

[mail][linkedin][x][github]
Highlights
SIH Winner
99.97% accuracy
Focus Areas
Computer Vision • Deep Learning • Backend APIs
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manas@bridge:~$ ▊-
vitals.json
{
"name": "Manas Thakur",
"role": "AI/ML Engineer & Backend Developer",
"specialization": "Computer Vision, Deep Learning, Intelligent Systems",
"email": "thakurmanas168@gmail.com",
"phone": "+91 9650376167",
"location": "New Delhi, India"
}
mission.md

I build practical AI systems with a focus on computer vision, reliability, and performance. B.Tech CS (AI/ML) @ Dronacharya (2023–2027). Smart India Hackathon 2023 Winner (99.97% lithology classification). Interests: model optimization, data-centric iteration, robust deployments.

3+
Years Coding
15+
Projects
10+
Deployments
30%
Latency Saved
manas@bridge:~$ ▊-
AI Engineer Intern
Jun 2025 – Aug 2025
API.Market
  • > Model evaluation & optimization
  • > Rapid prototyping of AI tools
AI Engineer Intern
Jun 2025 – Aug 2025
Noveum AI
  • > Benchmarking & tracking
  • > Data-informed features
Back End Developer (Intern)
Feb 2025 – Jun 2025
Octalucent Software Solutions
  • > PostgreSQL schema design
  • > Infra & remote workflows
Computer Vision Engineer
Nov 2023 – Feb 2025
Freelance
  • > Custom CV models
  • > End-to-end deployments
manas@bridge:~$ ▊-
./projects/sih_2023__lithology_project/
SIH 2023 - Lithology Project
Dec 2023
Real-time lithology classification with YOLOv8; ultra-high accuracy.
YOLOv8Computer VisionPython
99.97% accuracySIH Winner
./projects/pothole_detection__gps_tagging/
Pothole Detection & GPS Tagging
Aug 2024
Edge-ready pothole detection with GPS tagging for civic infra.
YOLOOpenCVGPSPython
Real-timeSmart city-ready
./projects/ml_construction_progress_monitoring/
ML Construction Progress Monitoring
Sep 2024
Vision-powered progress tracking on construction sites.
Deep LearningOpenCVPython
Anomaly detectionAutomated tracking
manas@bridge:~$ ▊-
"programming_languages": [
→ "Python",
→ "R",
→ "SQL",
→ "C",
→ "C++"
]
"ml_&_ai": [
→ "Supervised Learning",
→ "Deep Learning",
→ "Computer Vision",
→ "NLP",
→ "Reinforcement Learning"
]
"frameworks": [
→ "PyTorch",
→ "TensorFlow",
→ "Scikit-learn",
→ "OpenCV",
→ "YOLOv8",
→ "Hugging Face"
]
"model_architectures": [
→ "CNNs",
→ "RNNs",
→ "LSTMs",
→ "Transformers",
→ "U-Net",
→ "CLIP"
]
"data_science": [
→ "Pandas",
→ "NumPy",
→ "Matplotlib",
→ "Seaborn",
→ "Plotly",
→ "Streamlit"
]
"mlops_&_tools": [
→ "Docker",
→ "Git",
→ "CUDA",
→ "Weights & Biases",
→ "MLflow"
]
"databases": [
→ "PostgreSQL",
→ "MongoDB",
→ "Redis",
→ "LanceDB",
→ "Pinecone"
]
manas@bridge:~$ ▊-
Resume (PDF)
Hosted on GitHub Pages
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manas@bridge:~$ ▊-
Smart India Hackathon Winner🏆
NATIONAL LEVEL • DECEMBER 2023
99.97%
Accuracy
Developed an automated lithology classification system using YOLOv8 and deep learning techniques. Achieved exceptional accuracy in geological rock classification, demonstrating advanced AI/ML capabilities.
YOLOv8Deep LearningComputer VisionPythonAI/ML
Impact: National Recognition • Team Collaboration • Technical Innovation
Engineers Day Competition
DCE • 2ND PLACE
Designed an innovative fire-resistant safety system for automotive accidents. Demonstrated problem-solving skills and engineering innovation.
EmbeddedSafetyInnovation
IDE Bootcamp Selection
AMITY UNIVERSITY • PHASE 2
Advanced to Phase 2 selection process. Collaborated on innovative technology solutions and startup ideation.
StartupIdeationCollaboration
manas@bridge:~$ ▊-
--email
thakurmanas168@gmail.com
--phone
+91 9650376167
--location
New Delhi, India