
Pankaj Jangra
@pankajjangra
I build production AI, backend, and cloud platforms that improve scale, reliability, and business outcomes.
What I'm looking for
At Reliance Intelligence, I build production LLM platforms, including a RAG skill-routing system and a multi-agent orchestrator that improved median time to first token by 34%.
Previously at Groww and PROGCAP, I delivered AI-powered financial workflows, KYC fraud detection, bank-statement analysis, and event-driven communication systems. My work reduced infrastructure costs by 95%, eliminated manual report generation, and increased SIP retention by 20%+.
I work across Python, FastAPI, Django, GCP, AWS, distributed systems, and generative AI. I also mentor junior engineers, contribute to code reviews, and build agentic AI projects such as an autonomous trading simulation.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Reliance Intelligence
Jun 2026 - Present (3 months)
Built a production RAG skill-routing system and a multi-agent orchestrator, improving median TTFT by 34% and reducing tool-discovery calls by 4x. Reduced LLM-evaluation cost by 50% and architected a real-time LLM platform with Redis Streams and KEDA on GKE.
Software Engineer – Backend
Groww
Mar 2025 - May 2026 (1 year 2 months)
Built AI-powered sentiment analysis pipelines and an automated IPV KYC system. Designed GCP infrastructure, streamlined mutual fund workflows increasing SIP retention by 20%+, and mentored junior engineers.
Software Engineer – Backend
PROGCAP
Feb 2023 - Feb 2025 (2 years)
Designed a multi-tenant bank statement analyzer and automated CIBIL report generation, reducing infrastructure costs by 95%. Developed an AI-powered Collection Risk Analyzer and a Beat Planning System, and built centralized SSO authentication.
Software Engineer – Full Stack
NUPAY
May 2022 - Jan 2023 (8 months)
Developed a scalable loan and account management aggregator using Node.js, TypeScript, MongoDB, and Docker. Migrated legacy APIs to Golang and PostgreSQL, reducing response time by 35%, and built reusable frontend components with React.js.
Education
Degrees, certifications, and relevant coursework
Lovely Professional University
Bachelor of Technology, Computer Science and Engineering
2018 - 2022
Grade: 8.1 CGPA
Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a CGPA of 8.1.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/Pankajjangra77Salary expectations
Job categories
Skills
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