---
title: "Chinthan Surana - Software Development Engineer - Data Platform in Chennai | Tal"
description: "Meet Chinthan Surana, Software Development Engineer - Data Platform @ Nykaa | Go, Software Design, NoSQL based in Chennai. AI stack includes antigravity, codex, and cursor."
image: "https://tal.club/meet/chinthan-p/share-image"
---

# Chinthan Surana on Tal

## Headline

Software Development Engineer \- Data Platform @ Nykaa \| Go, Software Design, NoSQL

## About

As a Software Development Engineer \- Data Platform at Nykaa, contributed to advancing adtech through the redesign of a PySpark ETL framework on Databricks, increasing ads pipeline throughput by 30% and reducing infrastructure spend by 18%\. Re\-engineered an S3 asset ingestion pipeline leveraging AWS Rekognition and Bedrock, automating the classification of over 5,000 records per run and saving 12 hours of manual work weekly\. Graduated in August 2023 with a Bachelor's degree in Mechanical Engineering from Vellore Institute of Technology\. Proficient in Go, software design, and NoSQL, with hands\-on experience in machine learning and data science applications\. Motivated to create scalable and efficient data systems that drive impactful business outcomes\.

## Location

Chennai

## AI stack

antigravity

codex

cursor

gemini

geminicli

github copilot

## Work experience

Software Development Engineer \- Data Platform at Nykaa, Dec 2025 \- Present · 1 yr, Gurugram, Haryana, India, Increased ads pipeline throughput by 30% and reduced infrastructure spend by 18% by entirely redesigning the PySpark ETL framework on Databricks to utilize workload\-aware physical partitioning\. Eliminated 12 hours/week of manual operations work by re\-engineering the S3 asset ingestion pipeline to auto\-classify 5,000\+ records per run using AWS Rekognition and Bedrock\.

Software Engineer at Nykaa, Dec 2025 \- Present · 1 yr, Built an AI\-powered asset\-ingestion and review pipeline using AWS Bedrock and Rekognition, eliminating ∼12 hours/week of manual review across 5,000\+ records/run; embedded automated schema validation and multi\-stage quality gates to maintain a 99%\+ data\-evaluation SLA\. Architected a platform\-agnostic PLA Dynamic Query pipeline on Databricks, replacing legacy sources with deduplicated query data; cut runtime from 15 to 4 minutes and compute cost per run by 87–95%, while enabling parallel Fashion execution\. Rebuilt the Campaign Manager \(CM\) Ads Daily Generator as a config\-driven, concurrent for each platform for Beauty and Fashion; reduced monthly Databricks usage by 71% \(1,867→547 DBU\), halved runtime, and reduced new\-vertical onboarding from 2–3 days to 2–4 hours\. Increased production reliability across 3 ad\-serving workflows by launching centralized Argus observability, sale\-aware P0/zero\-impression alerts, CPD max\-slot notifications, and timezone\-correct Delta upserts for realtime budgets\.

Software Development Engineer, Machine Learning at ClearDemand, Jan 2025 \- Dec 2025 · 1 yr, Chennai, Tamil Nadu, India, Formerly Bungee Tech

Software Engineer, Machine Learning at Bungee Tech, Oct 2023 \- Mar 2025 · 1 yr 6 mos, Chennai, Tamil Nadu, India

Software Engineer at ClearDemand, Mar 2023 \- Dec 2025 · 2 yrs 10 mos, Owned end\-to\-end ingestion and transformation pipelines for 10\+ enterprise customers, converting raw S3 drops into schema\-governed, Athena\-queryable datasets using AWS Glue and partitioned storage\. Designed curated pricing and catalog data models for analyst and ML workloads; improved average Athena query latency by 40% through partition\-layout and sort\-key optimization\. Automated a 90\-minute catalog\-matching workflow to under 20 minutes using AWS Step Functions and Mistral tool\-calling agents, reducing manual data\-cleaning effort\. Reduced annual AWS spend by $19\.5K through lifecycle policies and compute right\-sizing; strengthened CI/CD with staged rollouts and canary checks, cutting cross\-region integration failures by 25%\.

Data Science & Machine Learning at Bungee Tech, Mar 2023 \- Sep 2023 · 7 mos, Chennai, Tamil Nadu, India

Undergraduate Student Researcher at Vellore Institute of Technology, Jul 2022 \- Aug 2022 · 2 mos, Chennai, India, Building neural network models to analyze stock market movement and predict their closing prices and future movements based on multiple features using their historical price data\.

Machine Learning Intern at Ideas2IT Technologies, May 2022 \- Aug 2022 · 4 mos, Chennai, Tamil Nadu, India, Coordinating and practicing MLOps for AI processes that identify trends from the voice of market data built multi\-horizon Temporal Fusion Transformers \(TFT\), NBeats, and BiLSTM\-based univariate and multivariate Deep Learning trend forecasting pipelines\.

## Education

Bachelor's degree, Mechanical Engineering, Vellore Institute of Technology

Computer Science, National Public School

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

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