Achal Pandey
Engineering Lead at Lloyds Technology Centre India
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolAchal Pandey is an Engineering Lead with 18+ years of experience building data and AI platforms and leading teams across cloud-first environments, currently driving engineering at Lloyds Technology Centre India. He has deep expertise in data engineering, cloud (GCP/AWS/Azure) and Generative AI, having led Data & AI strategy and delivery for Accenture’s Google Cloud Business Group in UKI. Achal blends hands-on system design—authoring scalable, real-time pipelines and RAG-enabled GenAI solutions—with pragmatic governance practices that keep projects secure, compliant, and business-aligned. He is results-oriented and experienced in turning experimental AI capabilities into operational tools that streamline workflows and improve customer outcomes. An active contributor to open-source tooling, his backend work on appleseed demonstrates a willingness to engage with complex rendering engines and performance-sensitive systems outside his core domain. Based in Hyderabad, he pairs technical depth with cross-functional leadership to deliver measurable transformation at scale.
8 years of coding experience
14 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceRajiv Gandhi Proudyogiki VishwavidyalayaB.Sc Electronics, B.Sc Electronics at Rani Durgavati Vishwavidyalaya
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (15)
lightening10
lightning10
lighty10
c-language10
cpp10
cprogramming-language10
render10
rendering10
animation9
visual-effects9
python5
qt5
3dsmax4
blender4
maya4
Programming languages (6)
Github contributions (5)
appleseedhq/appleseed
Feb 2019 - Mar 2019
A modern open source rendering engine for animation and visual effects
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 12 PRs, 92 comments in 29 days
Contributions summary:Achal primarily focused on enhancing the appleseed rendering engine's core functionality and user experience. Their contributions include implementing an alpha channel for the DepthAOV and adding render time estimation capabilities within the CLI and studio applications. The user also addressed a bug in render time estimation for multiple render passes. Furthermore, they integrated the Inferno color map for diagnostic AOVs, improving visual analysis capabilities.
rendering-enginevfxanimationblendercpp
achalpandeyy/Ogle
Dec 2020 - Feb 2021
Contributions:43 commits, 27 pushes, 1 branch in 2 months
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