M

Murtaza Sadriwala

CEO

Indore, Madhya Pradesh, India1 yr 8 mos experience

Key Highlights

  • Achieved 95% detection accuracy in computer vision projects.
  • Led a team for HackIndore 3.0 with 800+ participants.
  • Patent holder in agricultural automation technology.
Stackforce AI infers this person is a skilled AI/ML Engineer with a focus on building production-ready systems.

Contact

Skills

Core Skills

Machine LearningData ProcessingComputer VisionImage Processing

Other Skills

StreamlitFAISSBM25GraphRAGPython (Programming Language)Data VisualizationOpenCVYOLOSoftware DeploymentAlgorithm DevelopmentCritical ThinkingFinancial AnalysisCommunicationMulti-cultural Team ManagementLeadership

About

I’m an undergraduate engineer who enjoys building systems that combine AI, software engineering, and data-driven decision making to solve real-world problems. My work spans machine learning, computer vision, NLP, and backend systems, with a focus on turning ideas into reliable, production-oriented solutions rather than purely experimental research. I have experience as AI Research Intern at CloudRaft, I worked on GraphRAG-based knowledge systems and large-scale data pipelines, helping structure complex information into systems that can support real business decisions. Along the way, I’ve built solutions ranging from computer vision detection pipelines to knowledge retrieval architectures, achieving outcomes such as 95% detection accuracy and significantly faster query responses. I enjoy working across the stack from model development and experimentation to building APIs, deployment pipelines, and usable systems around them. Some of the problems I’ve worked on include: • Vision systems for automated analysis and detection • NLP pipelines and knowledge retrieval systems • AI-assisted automation for laboratory workflows • Intelligent systems for space and satellite imagery analysis Beyond building systems, I also enjoy leading teams and organizing technical initiatives. I was part of the leadership team for HackIndore 3.0, coordinating an event with 800+ participants, and currently contribute as Research Lead for the LexiconVakhya NLP project. I’ve participated in multiple national AI competitions including Amazon ML Challenge, ICEA TruthTell, and Flipkart Grid, and hold a patent in agricultural automation. I’m currently studying Information Technology at SGSITS (8.4 CGPA) with a minor in Data Science. I’m particularly interested in roles where I can work on building scalable AI systems, intelligent applications, and production ML infrastructure. 📧 murtazasadriwala09@gmail.com 🔗 Portfolio: https://tech-trove-murtaza-sadriwala.vercel.app/ 💻 GitHub: github.com/murtaza-sadri-19

Experience

1 yr 8 mos
Total Experience
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Average Tenure
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Current Experience

#include sgsits

2 roles

President

Apr 2026Present · 2 mos · Indore, Madhya Pradesh, India

Student Coordinator

Oct 2024Apr 2026 · 1 yr 6 mos · Indore, Madhya Pradesh, India

  • Official Techno-Learning Club of SGSITS. We collaborate with like-minded individuals to cultivate a thriving technical community, fostering skill development and innovation among students.

Cloudraft

AI Research Intern

Jul 2025Nov 2025 · 4 mos · Indore, Madhya Pradesh, India · Remote

  • Built and deployed a Streamlit clustering dashboard processing 6–12 months of business data shipped to a client for active use, giving stakeholders a single view to track trends across large datasets with low latency.
  • Optimised embedding-based retrieval pipeline using FAISS and BM25, reducing query response time from 30–40ms to 5–8ms, a ~5x improvement over the baseline.
  • Prototyped a Graph-Augmented RAG (GraphRAG) architecture, demonstrating knowledge graph-enhanced retrieval across complex documentation with multi-hop query resolution and entity relationship modelling.
StreamlitFAISSBM25GraphRAGPython (Programming Language)Machine Learning+1

Sparobix

Research Intern

Mar 2025Aug 2025 · 5 mos · Remote

  • 1. Implemented and benchmarked classical CV methods (HOG + SVM) against modern deep learning approaches for terrestrial object detection, identifying performance gaps as potential IP opportunities.
  • 2. Surveyed and coded swarm intelligence optimisation algorithms (PSO, ACO, ABC) to evaluate their applicability in autonomous decision-making pipelines.
  • 3. Contributed to early-stage neural network design for space imagery classification, focusing on object categorisation and dataset structuring.
OpenCVYOLOPython (Programming Language)Computer VisionImage Processing

Shri g s institute of technology & science

AI & Backend Intern

Mar 2025May 2025 · 2 mos · Indore, Madhya Pradesh, India · On-site

  • Developed an automated image processing pipeline for Thin Layer Chromatography (TLC) analysis using computer vision techniques.
  • Utilized OpenCV and YOLO models for accurate detection and segmentation of TLC plates and chemical spots.
  • Enhanced detection robustness through adaptive thresholding and modular pipeline design for real-time lab automation.
OpenCVComputer VisionImage Processing

Education

Shri G S Institute of Technology & Science

Bachelor of Technology - BTech — Information Technology

Sep 2023Jul 2027

St. Arnold's School

Oct 2010Jul 2022

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