Sep 2020 – Present · 5 yrs 9 mos

Jun 2020 – May 2022 · 1 yr 11 mos · Noida, Uttar Pradesh, India

• Worked on multiple components of EDJX product(Designing + Development)
• API gateway, API Authorization, User Authentication Module, Policy-based Accessing Resource
• Worked on Performance (Memory Management, Resouces Optimization)
• Actively participate in PR Review and other responsibilities - helping peers in design discussion and helping them write modular codes, maintaining the resilience and robustness of the system.
• Tech Stack: Golang, Caddy, Rust, JWT, Rest API, NATS

Nov 2019 – May 2020 · 6 mos · Bengaluru Area, India

Jan 2019 – Nov 2019 · 10 mos · Noida Area, India

• Recommendation & Personalisation, Discovery/Dynamic Pages, Image Search, and Image-Based Services like Search By Image, Image Score

Jan 2018 – Jan 2019 · 1 yr · Noida Area, India

• MADS Integration (Google Merchant Ads / Adwords)
• 1. GMC (Google Merchant Center) : Automated System to Upload seller with their Products
• 2. Create Campaigns/Ads for Products of Seller Registered on GMC
• 3. Budget Alignment for a Campaign
• OCR Detection
• 1. Built a NPWP card OCR detection using Google Cloud Vision API.
• 2. Built a KTP card OCR detection using Google Cloud Vision API (Improvements are in Progress)
• Worked on Product video recommendations Project for Add Products on Merchant Panel
• 1. Implemented a fast in-memory search over 400K curated videos by product name.
• 2. Integration on Youtube API to get Updated Results (likes, subscribers etc..)
• Data pipeline for Sunglass detection
• 1. Slack Integration : Product Added by Merchant in Sunglasses Category ,Detect its category applying deep learning (model trained in-house by ML Team) and verify if image indeed is likely to be sunglass.If its not belongs to Sunglasses Category, Post it on Slack.
• 2. Implemented Voting System on Slack [Yes/No] to detect category , If we got high no of No then Report it to CS Team.

Jun 2017 – Dec 2017 · 6 mos · Noida Area, India

• Implemented Digital Marketing Feed Generation Tool
• 1.Digital marketing team can generate product feed on demand and as needed with little help needed from Engineering. Automated system and Self service tool for digital marketing
• 2. Enhanced Performance from 8-9 hrs to 1.5hrs for a feed(~3-4M)
• Designed Events/Movies DataStore.
• 1. Implemented Catalogue/Search for Movies [Backend]
• 2. Implemented Search For Events [Backend]

Mar 2015 – Jun 2017 · 2 yrs 3 mos · Noida Area, India

• PROJECTS:
• 1. Market-Fradrules​ (Fraud Detection) : (Have implemented Rules : Payment consistency ,Address Based Token )
• 2. Promocode Search​ : Have implemented Promo code BULK API which fetch multiple promo code
• corresponding to product using promocode rule engine.
• 3. Digital Fulfillment Services
• ● . ​Bus-Tickets​: Have Implemented Rule Engine in bus tickets listing, which filters results based on rules
• ● ​Movie-Tickets​ : Responsible for whole movie-flow and Implementation from scratch as team of 3 people
• It includes Provider Integration with multiple platforms VISTA , IMPACT,SHOWBIZZ etc.
• ● Events & Amusement Parks​ : Two types of providers: online and offine, Responsible for DB schema for handling offline and online providers.