Headline

engineering @ headout

About

Engineer proficient in Java, Quarkus, PostgreSQL, and Python. At Locale.ai, I architected and developed core backend services, enabling alerts through real-time notifications, escalations, and workflows. Conducted research at CDSAML, applying reinforcement learning techniques to improve the accuracy of automatic image captioning by 3%. Holds a BTech in Electronics and Communication Engineering with a minor in Computer Science from PES University.

Location

Bengaluru

AI stack

cursor

opencode

claudecode

Work experience

Senior Software Engineer at Headout, Dec 2024 - Present · 1 yr 9 mos

Senior Software Engineer at Locale.ai, Jun 2022 - Dec 2024 · 2 yrs 7 mos, • Architected our core workflow builder for AI agents that leverages node outputs and enables RAG across different data sources. • Built an integration adapter that reduced integration development time from 20 hours to 4 hours, speeding up customer onboarding. • Designed and developed a comprehensive billing system to facilitate self-sign-ups and automated customer billing. Robustly handles 94% of revenue with clear audit logs. A two-phase commit reservation system is used to ensure transactional consistency across distributed services. • Enabled distributed tracing (OpenTelemetry) and metrics (Micrometer) for the event-driven systems, enabling faster identification and resolution of production issues. • Developed an event-driven query-based alerting system capable of scanning 50M rows across databases, APIs and sheets daily to enrich alerts. Apache Drill was used to query non-relational data sources. • Reduced Insights API response time from 8s to 800ms (P99) through query optimization and non-blocking reactive (concurrent) code using Mutiny, enabling swift user experiences on the Insights dashboard. • Implemented scalable two-way sync notification system handling peak of 125K messages/day (99% success rate). Enabled automated incident syncing between tools (Freshdesk) and communication platforms (WhatsApp, Slack), eliminating manual updates.

Software Engineer at Sling TV, Jan 2022 - Jun 2022 · 6 mos, Bangalore Urban, Karnataka, India, Engineered seamless integration between Sling's content backend and Google Assistant, enabling intuitive content discovery • Developed a Room Database to hold channel mapping data and supply it through a Content Provider. • Developed an interface between Google Assistant and Sling's content backend for improved results from voice commands. • Built an intent logger for debugging Android intents.

Data Engineer at Affinity Answers, Aug 2021 - Dec 2021 · 5 mos, Accelerated social affinity data consolidation 25% via multithreading. Built pipelines, monitoring, and analytics for large-scale data ingestion • Through the use of Multithreading and Placekeys, sped up the process of consolidating data from different vendors by ~25%. • Created and maintained Airflow pipelines for daily pre-processing and ingestion of data from S3 buckets to SQL databases. • Built dashboards using Superset to monitor ingested data and notify over Slack if abnormalities were detected.

Branding Deputy Manager at PESU IO, Jan 2020 - May 2021 · 1 yr 5 mos, Bengaluru, Karnataka, India

Branding Executive at PESU IO, Jan 2019 - Dec 2019 · 1 yr

Education

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, PES University

Bachelor of Technology - BTech, Minors in Computer Science Engineering, PES University

Profile highlights

What I'm currently working on: I am currently building robust backend services at Headout, focusing on high-scale event-driven systems and optimizing API performance.

What's hard for others but easy for me…: Debugging complex distributed systems and optimizing database queries is something I find straightforward compared to most.

Public links

github: https://github.com/abhikvarma