I am looking for a Software Engineer role where I can contribute to building scalable and impactful products. I prefer product-based or startup environments where I can take ownership, solve real-world problems, and continuously learn. I’m particularly interested in backend and full-stack development, with a focus on cloud infrastructure, scalable systems, and AI-driven applications.
Ashwani Kharwar
@ashwanikharwar
AI Full Stack Engineer | Building Accountant AI | K8s DevOps + Backend Systems | AI-Powered Automation
What I'm looking for
I'm a Software Engineer with 2 years of experience building AI-powered backend systems and production infrastructure — currently working at Krut AI where I own the full stack from LLM pipeline architecture to Kubernetes deployment. My day-to-day involves problems that sit at the intersection of AI and engineering: designing document processing pipelines that extract structured data from invoices using OCR and LLMs, building multi-LLM orchestrators that route across OpenAI, Anthropic, and other providers without vendor lock-in, and developing multi-agent systems where specialised agents hand off tasks dynamically based on context. On the infrastructure side, I led our full migration from Docker Compose to Kubernetes — implementing Helm charts, horizontal pod autoscaling, and shared NFS storage across pods — and I own our CI/CD and deployment reliability end to end. Beyond my day job, I've shipped Audinexa, a production SaaS platform for AI audio generation with voice cloning, custom voice creation, and a credits-based access model — built on FastAPI, Next.js, and AWS. I'm actively open to remote engineering roles where the work is technically demanding and the impact is real. What I work with: Python · FastAPI · Node.js · React · Next.js · LangChain · LLM Integration · Kubernetes · Docker · PostgreSQL · AWS
Experience
Work history, roles, and key accomplishments
Software Engineer
Accountant AI
Jun 2024 - Present (2 years)
AI Interviewing: Automated LLM screening with instant evaluation and feedback.
Adaptive Flows: Dynamic question paths and scoring to eliminate manual review.
Real-time Shortlisting: Instant answer analysis and automated candidate ranking.
AI Doc Processing: End-to-end OCR and LLM data capture for invoices to replace manual entry.
Education
Degrees, certifications, and relevant coursework
IES College of Technology
Bachelor of Technology, Computer Science
2020 - 2024
Grade: CGPA: 7.62
Completed a B.Tech in Computer Science at IES College of Technology from 2020 to 2024, achieving a CGPA of 7.62.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
ashwanikharwar.devSalary expectations
Job categories
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