
Saikat Kamal
MBA Candidate @ Frankfurt School | Machine Learning & Camera ISP Engineer | Elite Network of Bavaria Alumnus
I am a Senior Computer Vision Engineer with over 15 years of hands-on experience in camera imaging, algorithms, optics, and image quality. My work spans multiple ISP architectures, where I have developed and optimized imaging pipelines in close collaboration with highly skilled hardware and software engineering teams. During my tenure at ARRI and Dream Chip, I contributed to several patented innovations, developed advanced camera algorithms, and led image quality tuning teams responsible for subjective evaluation across a wide range of customer applications.
I graduated with Honors from the Elite Master Program in Advanced Optical Technologies at Friedrich-Alexander-Universität Erlangen-Nürnberg, supported by the MAOT Scholarship. My technical and academic interests span optics, laser technology, computer vision, machine learning, deep learning, digital signal processing, numerical optimization, and computational imaging.
To complement my technical expertise with a broader business perspective, I am currently pursuing an MBA at Frankfurt School of Finance & Management with a school scholarship, strengthening my focus on technology strategy, product leadership, and commercialization.
Beyond my core work, I actively support the startup ecosystem by connecting founders with relevant expertise and networks, while mentoring young professionals as they navigate technical and leadership career paths. Outside of work, I am passionate about photography and travel—exploring different cultures and capturing the world through carefully engineered and tuned imaging systems.
I am particularly interested in opportunities where deep technology, product strategy, and business growth converge, while remaining open to selective consultancy engagements in camera imaging, computational imaging, and challenging image quality problems.
PROFESSIONAL EXPERIENCE
Arnold & Richter Cine Technik GmbH (ARRI)
Research & Development | Imaging Technology & Innovation
Munich, Germany
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Drove image-quality innovation for ARRI’s professional cinema camera platforms, translating advanced imaging research into production-ready technologies and measurable improvements in product performance.
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Delivered approximately 20% improvement in camera image quality through advanced spatial-processing algorithms while accelerating development cycles through GPU-based prototyping and optimization.
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Spearheaded the development and integration of ARRI’s ADA7-SW demosaicing technology into the ARRI Reference Tool, improving image resolution and visual fidelity.
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Led image-quality optimization and sensor evaluation initiatives, providing technical insights to support strategic sensor and technology-selection decisions for future camera platforms.
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Developed advanced sensor-processing solutions, including dynamic pixel-error correction and PDAF pixel reconstruction, improving product robustness, focus performance, and overall image quality.
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Contributed to the advancement of ARRI’s ARRICORE codec and imaging pipeline, connecting sensor technology, computational imaging, and system-level optimization to deliver differentiated cinematic image quality.
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Worked across complex R&D challenges involving technology evaluation, prototyping, performance benchmarking, and product integration, bridging fundamental engineering with product requirements.
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Built deep expertise at the intersection of imaging technology, product innovation, and strategic technology decision-making, forming the foundation for a transition toward broader technology and business leadership responsibilities.
Nov 2021 — December 2025
Dream Chip Technologies GmbH
Camera Image Quality Tuning Engineer | Imaging Systems & Technical Leadership
Hannover, Germany
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Served as Chief Architect for an automotive camera rig supporting the Real-Time Pixel Processor (RPP), taking ownership of system architecture and image-quality performance.
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Led image-quality assessment and optimization activities, defining objective and subjective evaluation methodologies, performance requirements, test procedures, and technical recommendations.
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Designed camera lens and sensor models and contributed to technology benchmarking and image-sensor selection, supporting product-development decisions.
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Led the development and optimization of ISP capabilities, balancing software, hardware, performance, and image-quality requirements.
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Led image-quality tuning activities across customer projects, developing objective performance metrics and coordinating subjective evaluation to achieve customer-specific quality targets.
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Established a dedicated image-quality laboratory and automated software infrastructure, improving testing efficiency, repeatability, benchmarking, and development workflows.
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Automated complex camera-calibration processes spanning exposure, white balance, color, noise reduction, sharpness, tone mapping, demosaicing, HDR, and sensor correction.
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Trained and supported engineering teams in calibration methodologies, image-quality evaluation, and optimization techniques, helping scale technical knowledge across the organization.
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Developed advanced computational-imaging technologies including HDR processing, tone mapping, temporal and spatial noise reduction, fixed-pattern-noise correction, adaptive black-level processing, color calibration, and demosaicing.
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Combined technical architecture, customer requirements, team enablement, and product-performance optimization, expanding responsibilities beyond individual engineering contributions toward technical leadership.
May 2013 — October 2021
PATENTS APPLICATION
COMPUTER PROGRAM AND ELECTRONIC DEVICE FOR TONE MAPPING (link)
Dream Chip Technologies GmbH
Hannover, Germany
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Europäisches Patentamt (EPA). Patent No: 4812-0024 PCT-1
METHOD, COMPUTER PROGRAM AND ELECTRONIC DEVICE FOR
CREATING HIGH DYNAMIC RANGE IMAGES (link)
Dream Chip Technologies GmbH
Hannover, Germany
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Europäisches Patentamt (EPA). Patent No: 4812-0026 EP-1
Two-Stage Dynamic Correction Of Pixel Errors
In An Image Sensor (link)
Arnold & Richter Cine Technik GmbH & Co. Betriebs KG
Munich, Germany
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Europäisches Patentamt (EPA). Reference No: EM0169
EDUCATION
Frankfurt School of Finance
& Management
Master of Business Administration
Frankfurt, Germany
September 2025 - Present
Friedrich-Alexander-Universität Erlangen-Nürnberg
Master with Honours in Advanced Optical Technologies, (MAOT)
Erlangen, Germany
September 2010 - 2013
West Bengal University Of Technology
Bachelor in Applied Electronics and Instrumentation Engineering
Kolkata, India
Achievements and Position Of Responsibility
August 2004 - July 2008
ACHIEVEMENTS & CERTIFICATES
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2025 — DLD Future Hub, Elite Network of Bavaria
Selected as one of only 10 members of the Elite Network of Bavaria to participate in the prestigious DLD Future Hub. -
2024 — MBA Scholarship, Frankfurt School of Finance & Management
Awarded a scholarship for the MBA program at Frankfurt School of Finance & Management. -
2024 — EMBA Scholarship, University of Cologne Business School
Awarded a scholarship for the Executive MBA (EMBA) program at the University of Cologne Business School. -
2021 — SPIE Honorarium
Received an honorarium from SPIE, the International Society for Optics and Photonics. -
Computational Imaging — Patent Applications
Inventor on pending patent applications in computational imaging. -
2013 — Embedded World Conference Grant
Awarded a grant to participate in the Embedded World Conference. -
2012 — Moscow-Bavarian Joint Advanced Student School
Selected to participate and presented a research project at the Moscow-Bavarian Joint Advanced Student School. -
2010–2012 — MAOT MSc Scholarship
Awarded a scholarship for graduate studies through the Master of Science in Advanced Optical Technologies (MAOT) program. -
2011 — Enrico Fermi International School of Physics Grant
Awarded a grant to participate in the Enrico Fermi International School of Physics. -
2010–2011 — KSOP MSc Scholarship
Awarded a scholarship for graduate studies through the Karlsruhe School of Optics & Photonics (KSOP). -
ATOS Origin — Higher Education Grant
Awarded a higher-education grant from ATOS Origin. -
2009 — Second Place, Engineering Project Competition
Awarded second place for the engineering project “Digital Hologram Replication Using Nano-Embossing” (June 25, 2009). -
2008 — Publication, Fondation Télécom Annual Report
Work featured in the Fondation Télécom Annual Report (Rapport Annuel).
Certificates And Associated Link
Academic Degrees & Honours
Machine Learning & Deep Learning
Optical Engineering & Imaging Systems
Digital Signal Processing
Finance, Business & Strategy
Mathematics & Software Engineering
Professional Development, Language & Communication