- 🔭 Currently a Lead Engineer at GoHighLevel (since Apr 2026), on the Contacts Platform team — improving system design and architecture at scale
- 🏗️ Previously Lead Backend Engineer at Brevo and Core Architect at DLT Labs, building high-availability distributed systems at 100M+ record scale
- 🌱 Focused on distributed systems, high-throughput data architecture, and applied Machine Learning
- 👯 Looking to collaborate on Go microservices, large-scale data pipelines, and ML projects
- 💼 Open to Staff / Principal Engineer opportunities
- 🎓 BTech in Computer Science, APJ Abdul Kalam Technical University (84.6%)
- 🔬 Former Junior Research Intern (Computer Vision) at IIT Patna — received a letter of appreciation for research contributions
- ⚡ Fun fact: AKTU State-Level Football Championship winner, still up for a match anytime
Brevo — Lead Backend Engineer / Distributed Systems Specialist (Jul 2023 – Mar 2026)
- Architected the migration of mission-critical contact management microservices from Node.js to Go, scaling to 1,000+ RPS / 40k+ ops/min while supporting 100M+ contacts
- Drove a 50% reduction in text-based query latencies by redesigning data segmentation pipelines across PostgreSQL, ClickHouse, and Redis
- Introduced system-design review processes that cut post-release production anomalies by over 30%
- Led and mentored a backend squad, setting technical direction and CI/CD & monitoring standards
DLT Labs — Software Engineer → Senior Software Engineer → Lead Engineer (2019–2023)
- Core Architect for an enterprise blockchain-based supply chain and financial settlement platform, scaling transaction processing from 2k to 40k ops/min
- Designed a real-time, multi-source data replication engine that unlocked dynamic CRM segmentation
- Built automated self-healing production workflows preserving 99.99% availability SLAs
- Recognized as 'Top Achiever', 'Best Improvement', and 'Most Efficient Developer'
- high-scale-search — Go search orchestration service designed for 10B+ records at sub-200ms p99 latency, unifying Elasticsearch, ClickHouse, Firestore, Redis, and Kafka behind a fault-tolerant pipeline
- Segmentation Engine (CRM, professional work) — abstracted query engine joining ClickHouse, PostgreSQL, Redis, and MongoDB on the fly with sub-second latencies, solving dynamic segmentation at 100M+ contact scale with no predefined schema contracts
- Plant Disease Classification (Android + TensorFlow Lite) — hackathon project (CDAC, Hyderabad) enabling real-time, offline plant disease detection from leaf images on-device
- Pay_slip_generation — backend service for generating employee salary/taxation records
- speaker-recognition — GMM + MFCC-based speaker recognition system
- Convolutional Neural Network — A brief introduction
- Understanding Activation Function. Working and Use in ANN!
- Artificial Neuron Networks (Basics) | Introduction to Neural Networks
