---
title: "Paritosh Tripathi - Senior Software Engineer in Bengaluru | Tal"
description: "Meet Paritosh Tripathi, Senior Software Engineer @Sharpsell.ai | Distributed and Backend Systems based in Bengaluru. AI stack includes claude code, codex, and mcp. Explore public work links including github."
image: "https://tal.club/meet/paritosh-tripathi/share-image"
---

# Paritosh Tripathi on Tal

## Headline

Senior Software Engineer @Sharpsell\.ai \| Distributed and Backend Systems

## About

Graduated with a Bachelor of Technology in Computer Science from Bennett University, with expertise in backend development and distributed systems\. Currently a Senior Software Engineer at Sharpsell\.ai, where I contributed to designing and deploying a new analytics platform\. This included migrating databases to ClickHouse for 10× faster query performance and implementing near real\-time data ingestion pipelines with PeerDB on AWS ECS\. Previous roles included scaling production data systems at Parspec and developing high\-throughput, event\-driven data pipelines at Anakin \(YC\)\. Proficient in Python, Go, and ClickHouse, with experience in building scalable architectures and optimizing analytics pipelines\. Committed to improving system performance and enabling data\-driven decision\-making\. mailto: paritosh\.tripathi\.work@gmail\.com visit: https://paritosh\.online

## Location

Bengaluru

## AI stack

claude code

codex

mcp

opencode

Wispr Flow

Zed

## Work experience

Senior Software Engineer at sharpsell\.ai, Jun 2026 \- Present · 3 mos, Bengaluru, Karnataka, India, • Designed and built a new analytics platform by migrating from PostgreSQL to ClickHouse, reducing analytical query latency by \~10× for large\-scale workloads\. • Implemented Change Data Capture \(CDC\) using PeerDB on AWS ECS, cutting data ingestion and ETL pipelines from hours to minutes while enabling near real\-time analytics\. • Deployed and operated ClickHouse on Amazon EKS \(Kubernetes\), building a scalable, highly available analytics infrastructure\. • Integrated Apache Superset with ClickHouse to power internal analytics dashboards, delivering faster reporting and improved decision\-making\. • Optimized the end\-to\-end analytics pipeline across ingestion, storage, and visualization to support high\-throughput analytical workloads\. • Built new DBT system called Atlas replacing current PY\-ETL system with minimum effort and standarzing the way we write ETL for realtime analytics\.

Software Engineer II at Parspec, Apr 2025 \- Jun 2026 · 1 yr 3 mos, Bengaluru, Karnataka, India, Software Engineer working at scale — scaling production data systems to millions of writes, evolving the public API to v2\. I take systems through the full curve: design and ADRs → production → scale → observability\. Inventory Ingestion Service — saga \+ distributed locks • Designed a saga\-based ingestion pipeline that keeps DynamoDB and OpenSearch consistent via compensating rollback, with DynamoDB conditional\-write distributed locks serializing concurrent per\-SKU writes\. • Scaled ingestion from a 5\-manufacturer seed to 3\.9M\+ writes across 7,800\+ manufacturers \(25–30% MoM growth\) at \~0\.3 ms avg latency and p99 under 5 ms, absorbing 400K\+ single\-day bursts with no duplicate\-row corruption\. Hermes — Ephemeral Environment Platform • Built a FastAPI control\-plane that provisions per\-branch ephemeral environments on every PR via AWS ECS Fargate, ALB host\-header routing, CodeBuild, ECR, and Route53\. • Turned a multi\-hour manual ops task into a self\-service API, growing monthly active developers 7× \(2 → 14\) and saving \~270 developer\-hours/year\. Public Application / REST API • Served 100K\+ items/hour at sub\-100 ms p99 over PostgreSQL, Aurora, DynamoDB, and OpenSearch\. • Set REST conventions and error translation that don't leak DB internals, adopted across the API surface\. Nexus & Kronos — Async & Cron Platform • Designed Nexus, a unified async\-task service \(SQS, ECS, WebSocket progress, DLQ\-backed retries, queue\-depth autoscaling\) that moves long\-running work off the request path\. • Designed Kronos, a centralized cron system that moves in\-process cron jobs out of the primary Django service onto dedicated, monitored ECS tasks\. Product Finder 2\.0 — Search Ranking • Replaced hard attribute filtering with a config\-driven weighted soft\-ranking engine \(zero\-deploy weight tuning, match\-strength scoring\), lifting search accuracy \+23%\. • Parallelized OpenSearch page fetching with Go goroutines, cutting query latency from 10 ms to 2 ms\.

Software Engineer I at Anakin \(YC S21\), Aug 2022 \- Dec 2024 · 2 yrs 5 mos, Bengaluru, Karnataka, India, Software Engineer and grew into an owner of foundational, high\-throughput data systems — building from scratch under real startup constraints\. Generic Compiler Service • Built the first version from scratch — a config\-driven service \(FastAPI, Factory Pattern\) transforming unstructured data into structured datasets at 100 GB/day \(peak 200 GB/day, 100\+ concurrent tasks\)\. • Engineered dual\-queue SQS with 15\-day DLQ, ECS autoscaling on queue depth, and multi\-sink writes to MongoDB, BigQuery, and S3 with write\-ahead logs\. • Cut new\-client onboarding from 3 days to 4 hours\. Event\-Driven Data Pipeline • Designed the company's event\-driven backbone from the ground up, handling 150M\+ events/month at 99\.9% uptime\. • Used partition\-aware sharding, async consumers, and backpressure to absorb 50K\-events/min peaks\. • Pattern reused by several teams to speed up delivery\. Android Device\-Orchestration Platform • Sole owner — built the platform from nothing \(Python, Go\), orchestrating automation across on\-prem Pixel pools and Genymotion cloud instances with affinity scheduling\. • Integrated Frida runtime injection, network recording, and device lifecycle state tracking\. • Ran 100\+ connected devices across concurrent automation sessions\. Microservice Templates & Platform Tooling • Established reusable microservice templates and domain\-driven patterns from scratch that 6 teams adopted as their standard\. • Compressed feature development from 2 days to 3 hours and enabled independent scaling of 12\+ services\. • Resolved 50\+ critical production incidents and cut infra cost $3K/month\. Observability & Cost Optimization • Built BigQuery \+ Looker Studio analytics and Grafana monitoring on Kubernetes with automated Slack alerting\. • Cut reprocessing overhead 40% and on\-call escalations 30%\. • Reduced defect\-resolution time \~40% through better observability\. Engineer of the Quarter, Q3 2024 — for backend throughput gains, production\-incident resolution, and mentoring junior engineers\.

AI Engineer · Software Engineer at The One World, Dec 2021 \- Aug 2022 · 9 mos, Bengaluru, Karnataka, India, First production engineering role — shipped ML and backend services behind a social\-media platform\. Two consecutive tracks: AI engineering, then backend\. Backend • Built a containerized FastAPI backend on Python \+ PostgreSQL \+ Docker \+ AWS, lifting API performance \~30%\. • Owned API design, schema modelling, and database management end\-to\-end alongside senior engineers\. Machine learning • Designed a recommendation engine and a rooftop\-age detection model\. • Deployed Dash/Plotly dashboards on AWS EC2, lifting data accessibility for non\-technical stakeholders \~25%\. Stack: Python · FastAPI · Django · PostgreSQL · MongoDB · Docker · AWS \(EC2\) · PyTorch · TensorFlow · Plotly/Dash · Linux

## Education

Bachelor of Technology \- BTech, Computer Science, Bennett University

## Public links

- github: https://github\.com/paritoshtripathi935

[View the original profile](https://tal.club/meet/paritosh-tripathi)

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