--- title: "Kamlesh Chhipa - Software Engineer (SDE 2) in Bengaluru | Tal" description: "Meet Kamlesh Chhipa, SDE 2 | Full Stack Developer | Python, Django, FastAPI, JavaScript, React.js, Next.js | AWS & GCP | Trino | Iceberg | Clickhouse | Kubernetes | Apache Spark | Bigquery | Freelancer based in Bengaluru. AI stack includes claude code, claude, and codex. Explore public work links i..." image: "https://tal.club/meet/kamlesh-chhipa/share-image" --- # Kamlesh Chhipa on Tal ## Headline SDE 2 \| Full Stack Developer \| Python, Django, FastAPI, JavaScript, React\.js, Next\.js \| AWS & GCP \| Trino \| Iceberg \| Clickhouse \| Kubernetes \| Apache Spark \| Bigquery \| Freelancer ## About Backend Software Engineer \(SDE\-II\) with 4\+ years of experience building large\-scale data platforms and LLM\-driven systems for product and AI\-first companies\. I specialise in Python\-based backend engineering, distributed data pipelines, and production AI infrastructure while remaining comfortable owning frontend and product\-facing features end\-to\-end when needed\. At BrightEdge, I work on AI Cube, where I architect and operate LLM processing infrastructure handling 5B\+ tokens per month\. My work spans the full lifecycle from SERP and AI Overview ingestion to LLM execution and analytics\-ready outputs using Python, ClickHouse, MySQL, BigQuery, Spark, Trino, Iceberg, Kubernetes, and GCS\. I focus on building systems that are deterministic, cost\-efficient, and reliable at scale\. I’ve delivered backend and data platforms with direct business impact, including: A Trino–Iceberg–ClickHouse pipeline that replaced legacy BigQuery UDF workflows, saving $18K–$20K monthly while processing 1B\+ events per month\. A fault\-tolerant SERP ingestion system processing 100M\+ keywords monthly with 4× faster throughput\. An AI Overview stitching pipeline that reduced data collection costs by \~60% across 25\+ locales\. A GSC BigQuery export pipeline adopted by 50\+ enterprise customers \(including DIRECTV and LinkedIn\), improving data accuracy by \~10% Previously at Hevo Data, I worked as a Full Stack Developer, owning backend APIs and frontend experiences end\-to\-end\. I built secure integrations like Snowflake Partner Connect \(driving 10–15 MQLs/month\), optimized critical APIs \(\~75% latency reduction, \+4–5% signup conversion\), and led product\-facing initiatives including Next\.js migrations, A/B experimentation \(\+20% demo requests\), referral systems \(\+40% engagement\), and Core Web Vitals improvements \(LCP improved to 83\.85%\)\. I enjoy building backend\-first systems that scale, while staying hands\-on with frontend and product engineering when it drives impact\. Open to SDE\-2 / SDE\-3 Backend, Platform, or Full\-Stack roles in product\-led, AI\-driven teams\. ## Location Bengaluru ## AI stack claude code claude codex cursor gemini claudecode ## Work experience Software Engineer \(SDE 2\) at BrightEdge, Jun 2025 \- Present · 1 yr 3 mos, Architected and scaled the core LLM processing infrastructure for AI Hyper Cube using Python, ClickHouse and MySQL, processing 5B\+ tokens per month to run scoped LLM prompts that extracted intent, brand entities, sentiment, and citations from AI\-generated prompts at production scale\. Engineered a GPU\-based LLM inference platform using vLLM, Vast\.ai, and open\-source models for large\-scale entity extraction, reducing monthly AI processing costs by 62% \($40K → $15K\)\. Built pre\- and post\-processing pipelines for AI Hyper Cube, processing 100M\+ keyword SERPs using Python and BigQuery for prompt generation and Spark for post\-processing with brand\-level hash partitioning \(MD5 modulo\), enabling reliable analytics and UI consumption\. Built a scalable Trino–Iceberg–ClickHouse data pipeline leveraging Python, GCS, Hive metadata, JavaScript UDFs, and Kubernetes\. Created a custom memory\-aware job scheduler and replaced the legacy BigQuery UDF process, achieving $18K–$20K in monthly savings while processing 1B\+ events per month\. Led the development of DCX Collector V2 leveraging Python, FastAPI, RabbitMQ, Redis, Docker, Argo Workflows, and BigQuery\. Achieved a 4x faster processing speed, enabled seamless processing of 100M\+ keywords per month across multiple vendor integrations\. Implemented an automated AIO stitching system using Python, JavaScript, BigQuery UDFs, and Argo, mitigating Google num=100 deprecation and reducing DCX keyword collection costs \~60% across 25\+ locales\. Full Stack Engineer at Hevo Data, Feb 2022 \- May 2025 · 3 yrs 4 mos, Engineered the Snowflake Partner Connect feature by exposing a secure POST API with a JWT fingerprint for automated destination creation, driving an additional 10\-15 MQLs per month\. Optimized the Signup API, reducing response time from 9 seconds to 2\-2\.5 seconds \(≈75% decrease\) and increasing signup conversion rates by 4\-5%, enhancing the overall user experience\. Led end\-to\-end development of a secure referral portal using JavaScript Promises to sync job submissions across the database, webhooks, and Lever API, increasing referral engagement by 40%\. Migrated the Django website frontend to a Next\.js app, incorporating TypeScript and Tailwind CSS, and Dockerized the app, achieving a 15% improvement in application load times\. Implemented A/B testing on high\-conversion pages \(signup, demo\) for a Django website using Jinja templates, HTML, SCSS, and JavaScript, resulting in a 20% increase in demo requests\. Enhanced Core Web Vitals by deploying Varnish in\-memory caching \(improving good LCP URLs from 55\.73% to 65\.23%\) and migrating to the CloudFront CDN, further raising good LCP URLs to 83\.85%\. Tech Intern \| Python, MySQL, REST API, ETL, Django at Hevo Data, Feb 2022 \- May 2022 · 4 mos, Bengaluru, Karnataka, India, • Developed Python scripts for automating the upload of Confluence documents to zendesk KBs, enhancing workflow efficiency for the customer experience team\. • Designed and implemented a comprehensive dashboard that allowed the customer experience team to manage and monitor various automation scripts and operations, streamlining internal processes across the company\. Software Engineer \| Python, MySQL, Machine Learning, OTT Integration at Maxtap, Nov 2021 \- Feb 2022 · 4 mos, Bangalore Rural, Karnataka, India, • Researched Technical Backend Architecture and used Python, Machine Learning and MySQL\. Enhanced results from Google Video Intelligence API and Achieved \~90% Accuracy\. • Created product UI/UX mockup front\-end design on Adobe XD tool and Built a Chrome Extension from Tampermonkey Javascript code to integrate with 5\+ OTT platforms such as Oho\-Gujarati, Ullu, MX Player and Hoststar\. • Reduced Project Costs by 10% by Creating an ETL pipeline using Javascript and Python to fetch data from 3\+ Data Sources and store in the Firebase database and Google Cloud Bucket • Evaluated over 10\+ Machine Learning APIs and analyzed the results to determine what is most suitable for product requirements\. Software Engineer \| Python, Google Places API, Firebase, ETL Pipeline at DUIT, Jan 2021 \- Oct 2021 · 10 mos, New Delhi, Delhi, India, • Reduced project costs by 15% by utilizing a Python script to seed data for shops registered on Google using the Google Places API and storing the data in a Firebase database\. • Reduced project costs by 10% by utilizing a Python script to seed data for shops registered on Google using the Google Places API and storing the data in a firebase database\. • Improved mobile app engagement by 20% through UI design using Adobe XD and Flutter\. Software Engineer Intern \| Javascript, Firebase, Google BigQuery, API Integration at DUIT, Sep 2020 \- Dec 2020 · 4 mos, India, • Created ETL pipeline using JavaScript on Google Apps Script that fetched real\-time data from a stock API and loaded in Firebase and Google Bigquery, resulting in a 20% reduction in project costs\. ## Education Bachelor's Degree, Computer Software Engineering, jaypee institute of information technology ## Public links - github: https://github\.com/Kamlesh480 - medium: https://medium\.com/@kamleshchhipa480 - leetcode: https://leetcode\.com/kamleshchhipa480 - kamlesh\-chhipa\.com: https://kamlesh\-chhipa\.com/ [View the original profile](https://tal.club/meet/kamlesh-chhipa) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/kamlesh-chhipa#person", "name": "Kamlesh Chhipa", "url": "https://tal.club/meet/kamlesh-chhipa", "image": "https://tal.club/meet/kamlesh-chhipa/profile-photo.jpg", "description": "Meet Kamlesh Chhipa, SDE 2 | Full Stack Developer | Python, Django, FastAPI, JavaScript, React.js, Next.js | AWS & GCP | Trino | Iceberg | Clickhouse | Kubernetes | Apache Spark | Bigquery | Freelancer based in Bengaluru. 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