Abhijit Mohanty
Senior Software Engineer | Previous Founding Engineer & Software Consultant
Professional Summary
Product focussed backend engineer with 10+ years building production payments and AI workflow systems. Owns discovery, scoping, build, rollout, and adoption across ambiguous, high-stakes workflows; shipped LLM-powered tools saving 50+ engineering hours/month and reducing onboarding from 3 days to 30 minutes.
Professional Experience
- Proposed, scoped, and built CRP Bot from recurring on-call pain points; demoed to senior leadership and secured executive approval to convert it into a funded team initiative, saving 50+ engineering hours/month.
- Extended CRP Bot with remote debugging and coding harness, enabling engineers to monitor logs, diagnose production issues, and raise merge requests from mobile devices.
- Rebuilt internal portal onboarding from dropdown-heavy forms into an AI-powered natural-language flow, reducing onboarding time from 3 days to 30 minutes.
- Built reusable AI skills for spec creation, code development, and Snowflake data analysis, saving engineers 3–5 hours/week while standardizing repeatable AI-assisted investigation patterns.
- Selected for Grab's Power AI Users group to evaluate AI inference providers, coding agents, and engineering harnesses, converting practitioner feedback into broader engineering developer tooling decisions.
- Ranked in the top 2% at Grab for AI tool usage and currently scaling AI-assisted workflows across engineering teams in the Payments org.
- Built central reconciliation platform with visibility across 50M+ daily transactions, recovering USD 250K in fund loss; led bank and consumer-app integrations unlocking USD 3.5M annual revenue.
- Migrated critical applications from GCP to AWS with zero downtime, reducing infrastructure cost by 20% ($120K/year) and improving performance 4x.
- Partnered with Advalent CEO and client leadership to demo custom features, win deals, and integrate Advalent into client systems; built reusable ingestion cutting integration from 5 days to 1 day; scaled system to 50K+ users and USD 6M revenue.
- Joined as first employee; handled design, app development, sales, and marketing.
- Led UI/UX design; created a reusable internal design library to standardize patterns and accelerate delivery.
- Developed cross-platform consumer-facing e-commerce React Native mobile app.
- Scouted potential flagship-store locations through field visits and secured permission for one launch site through negotiations with multiple site owners.
- Story boarded, shot, and edited the flagship-store marketing campaign video end to end.
- Worked with client CTO and stakeholders to build a custom finance-analyst solution; led 6 engineers from discovery to delivery, reducing reporting time from 24 hrs to 6 hrs.
Personal Projects
AI knowledge system that turns saved X/Twitter bookmarks and YouTube videos into a daily newsletter, with Neo4j knowledge graph and RAG chatbot for live Q&A.
Real-time voice AI council that lets users discuss decisions with multiple AI personas, combining live speech, transcription, and persona reasoning.
Privacy-first developer toolkit with 9 utilities, including JSON Formatter and JWT Decoder, reaching 120+ monthly active users.
Technical blog and portfolio reaching 5.4K monthly unique visitors, used to publish engineering notes, AI projects, and product write-ups.