Ananthram V

Ananthram V

$13/hr
Backend Engineer building scalable APIs & real-time data pipelines with Python, Kafka, Redis, Flink.
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
22 years old
Location:
Bangalore, Karnataka, India
Experience:
2 years
About

I’m Ananthram V, a Backend Engineer with 1.5 years of professional experience, passionate about building scalable, high-performance backend systems that handle large volumes of data efficiently. I graduated from IIT Mandi in 2024 with a B.Tech in Computer Science and Engineering, and since then, I’ve been focused on designing reliable systems that make a real impact.

At Schmooze, I’ve engineered end-to-end backend features that combine robust APIs with real-time data processing. I built a system that streams over 200,000 records into StarRocks using Flink, enabling real-time analytics and aggregation at scale. I also developed a backend-driven entitlement system using Redis for fast state tracking and Kafka for message delivery, reaching over 60,000 users daily.

In addition, I designed a user behavior tracking system to monitor swiping patterns, integrating Firebase for interventions, Redis for quick score retrieval, and Kafka for real-time processing with PostgreSQL for state persistence. This system reduced unproductive user behavior by 20%, demonstrating the impact of well-architected backend pipelines.

I’ve also focused on system reliability and performance optimization. For example, I improved the caching layer by implementing staggered TTL logic in Redis, eliminating peak-hour CPU spikes and ensuring consistent response times. Beyond pipelines and caching, I built a CLIP-based multi-stage image classification system, achieving 92% top-1 accuracy. This involved creating efficient batch pipelines in SQL, indexing embeddings in Elasticsearch, and deploying scalable real-time inference using BentoML.

My core expertise lies in Python, microservices, real-time data processing with Flink and Kafka, caching with Redis, data storage and analytics with PostgreSQL and StarRocks, and search indexing with Elasticsearch. I enjoy designing systems end-to-end, from database schema design to message pipelines, and continuously iterating for performance, scalability, and reliability.

I thrive in fast-paced startup environments where I can take ownership of complex backend problems, solve challenging technical issues, and deliver solutions that directly impact users. I am eager to continue building systems that are not just functional but also scalable, performant, and maintainable.

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