Akshit Ahuja
@akshitahuja
I build scalable backend systems and practical AI automation for businesses.
IndiaWhat I'm looking for
I've delivered AI adoption and automation systems for startups and agencies, including work re-engaging Spinny to identify high-leverage engineering workflows and introduce AI tooling into daily work.
I built a vehicle-report automation connector that extracts service-history fields with an LLM and routes low-confidence cases to human review, replacing a $10,000-per-month manual process and reducing the operating team from 20 people to 3.
At PeerSeek.io, I built the backend from scratch with Django, Django Channels, Redis, and Azure, designing event-driven infrastructure for scalable chat and long-term maintainability. I also contribute to sales conversations, onboarding, and product feedback loops.
At Spinny, I developed backend services handling 3.4M+ daily requests, automated 35k+ auctions, reduced external API failures by 90%, and cut API latency from 500ms to 150ms. Earlier at Zscaler, I automated cloud infrastructure monitoring and access-control work with Python and Bash.
Experience
Work history, roles, and key accomplishments
Independent Tech & AI Consultant
Independent
Oct 2025 - Present (11 months)
Provides AI adoption consulting, automation tooling, and backend delivery for startups and agencies. Led AI adoption for Spinny, built a vehicle report automation connector, and developed an ad-spend monitoring platform.
Co-Founder & Founding Engineer
PeerSeek.io
May 2025 - Present (1 year 4 months)
Built a scalable backend from scratch using Django, Django Channels, Redis, and Azure cloud. Designed event-driven, microservice-ready infrastructure and supported early sales and product feedback loops.
Developed backend handling 3.4M+ daily requests using MongoDB, Redis, AWS Lambda, and Elastic Beanstalk. Built an auction scheduler microservice and implemented idempotent APIs, reducing external API failures by 90%.
Wrote Python and Bash scripts to automate access control and monitor cloud infrastructure.
Education
Degrees, certifications, and relevant coursework
Guru Nanak Dev Engineering College
B.Tech, Computer Science
2018 - 2022
Grade: 8.02 CGPA
Pursued a B.Tech in Computer Science, achieving a CGPA of 8.02.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
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