Jul 2022 – May 2024 · 1 yr 10 mos

• ‣ Developed various Unification API's for MMT and GI. (Auth, refer and earn)
• ‣ Reduced 95% response time of an API from 150𝐦𝐬 -> 5𝐦𝐬 -> 3𝐦𝐬.
• ‣ Debugged, Analysed and Solved production issues at the earliest.
• ‣ Developed a new feature (Streaks) end to end (Design, Development, Testing, Optimization) which rewards the users based on the completion of certain bookings. ( 𝐓𝐡𝐫𝐨𝐮𝐠𝐡𝐩𝐮𝐭 : ~15𝐊 𝐫𝐞𝐪𝐮𝐞𝐬𝐭𝐬/𝐦𝐢𝐧, ROI: 25%)
• ‣ Part of the Special Ops Team contributing to ML, NLP and ChatGPT POCs.
• ‣ Created Consent Management Service for GDPR region using Java Vert.x framework.
• ‣ Scaled pragna chatbot from one vertical to multiple verticals, using FastAPI.
• ‣ Did testing of APIs using Jmeter and Charles.
• ‣ Created a new feature to reward MMT users with gift cards on birthdays and anniversaries.
• ‣ Added log rotation functionality to microservices in order to utilize the memory of the containers.
• ‣ Built User Engagement Service from scratch which will reward the users based on their engagement with the MMT platform, and also will communicate via different channels.
• ‣ Solved Security Issue of multiple gift card generation by implementing locking.
• ‣ Replaced SMS communication with Push Notification to save cost of Rs.14Lac/Month
• ‣ Solved live issue of 100% Redis Storage without any data loss. (On last working day 😎 )

Apr 2021 – Jul 2022 · 1 yr 3 mos

• ‣ Member of product and growth team, developing new functionalities, debugging, and resolving production issues for Neo, Babelfish, Fisherman, Phantom, Consent-Management, Spider, UserEngagmentService and DS-SpecialOps.
• ‣ Migrated Thanos logging environment from Stdout to Scalyr. (𝐎𝐧 2𝐧𝐝 𝐃𝐚𝐲 𝐨𝐟 𝐉𝐨𝐢𝐧𝐢𝐧𝐠 😎)
• ‣ Took various R1 Interviews of candidates.
• ‣ Performed up-gradation of various components to the latest version i.e Django, MySQL, Vert.x, etc.
• ‣ Created and automated an alter notifier system for expired vouchers.
• ‣ Created utility scripts using confluent-kafka and AWS (S3, Lambda, API Gateway)
• ‣ Created and modified API endpoints to User Authentication project.
• ‣ Led cross VPC migration of the whole microservice.
• ‣ Documented curl requests and responses of all API's at single location.
• ‣ Reduced build time of docker submit jobs in production from 20 𝐦𝐢𝐧𝐬 𝐭𝐨 8 𝐦𝐢𝐧𝐬.
• ‣ Integrated truecaller in goibibo app i.e one-tap login which increased the 𝐥𝐨𝐠𝐢𝐧 𝐫𝐚𝐭𝐞 𝐛𝐲 9%.
• ‣ Contributed to Account deletion flow for IOS customers.
• ‣ Replicated the whole micro-services for multiple projects like Neo, Phantom, Babelfish from AWS to Physical Server for staging.
• 𝙏𝙤𝙤𝙡𝙨 𝙖𝙣𝙙 𝙏𝙚𝙘𝙝𝙣𝙤𝙡𝙤𝙜𝙞𝙚𝙨:
• 𝘗𝘳𝘪𝘮𝘢𝘳𝘺: Python, Django, Flask, FastAPI, ORM-queries
• 𝘈𝘱𝘱𝘭𝘪𝘦𝘥: AWS (S3, Lambda, DyanamoDB), Redis, Confluent-Kafka, Pandas, Docker, Gerrit, Scalyr, Celery, Aerospike, MongoDB, Java Vert.x, Cassandra.
• 𝑨𝒘𝒂𝒓𝒅𝒔 𝒂𝒏𝒅 𝑹𝒆𝒄𝒐𝒈𝒏𝒕𝒊𝒐𝒏𝒔:

Mar 2022 – Jul 2024 · 2 yrs 4 mos · Remote

• To discuss regarding scaler over 1:1 call fill this form : https://bit.ly/393Mrg4
• Helping junior engineers at scaler academy by clearing their doubts in Data Structure and Algorithms, Computer Fundamentals and System Design.
• Prepare them for interviews by taking mock interviews and sharing constructive feedback.
• Acting as a personal guide and friend to them to make them feel comfortable and embrace this learning journey whole hearted.
• 𝑷𝒓𝒐𝒇𝒊𝒍𝒆 𝑳𝒊𝒏𝒌: 𝒉𝒕𝒕𝒑𝒔://𝒘𝒘𝒘.𝒔𝒄𝒂𝒍𝒆𝒓.𝒄𝒐𝒎/𝒂𝒄𝒂𝒅𝒆𝒎𝒚/𝒎𝒆𝒏𝒕𝒐𝒓/𝒑𝒓𝒐𝒇𝒊𝒍𝒆/𝒗𝒊𝒌𝒂𝒔𝒗𝒊𝒌𝒊/
• Areas: Data Structure and Algorithms, System Design, Carrer guidance, Time management

Mar 2020 – Apr 2021 · 1 yr 1 mo · New Delhi, Delhi, India

• ‣ Member of Core Python Development Team.
• ‣ Built API for performing NLP methodologies on real-time tweets.
• ‣ Optimized processing of IPDR files 10 times faster.
• ‣ Built Profiler to Extract Insights from Unstructured text data.
• ‣ Worked on Text Processing for various kinds of files.
• ‣ Created End to End ETL pipeline for EDR and LIM data.
• ‣ Worked on development and modifications of Prophecy product.
• ‣ Performed various tasks of Data Gathering and Data Analysis using python libraries.
• ‣ Worked on flash text python module for text classification in the fastest way possible.
• ‣ Automated the task of reflecting a change from one server to all servers with a single script.
• ‣ Wrote various standalone scripts to meet the requirements of clients in existing workflow.
• ‣ Created phone number to country name mapping for all countries.
• ‣ Built and Implemented architecture model for translation of various languages with optimized load balancing and time complexity.
• 𝙏𝙤𝙤𝙡𝙨 𝙖𝙣𝙙 𝙏𝙚𝙘𝙝𝙣𝙤𝙡𝙤𝙜𝙞𝙚𝙨:
• 𝘗𝘳𝘪𝘮𝘢𝘳𝘺: Python, Neo4j, Elasticsearch
• 𝘈𝘱𝘱𝘭𝘪𝘦𝘥: Flask, Pandas, os, sys, MySQL

Oct 2019 – Mar 2020 · 5 mos · Gurugram, Haryana, India

• ‣ Built a Data Streaming tool using AWS Kinesis providing results in real-time.
• ‣ Found the count of the number of active users per minute in the streaming data.
• ‣ Implementing AI technologies in RC-Car in order to make it self driving car.
• ‣ Making the Car understand the actions based on the inputs from the environment.

Jul 2019 – Sep 2019 · 2 mos · Gurugram, Haryana, India

• ‣ Implemented data structures and algorithms in core java.
• ‣ Joined Autonomous Car POC and refactored the code with modularity and scalability functionalities

May 2019 – Jul 2019 · 2 mos · Nehru Place, New Delhi

• Created Web Crawlers to extract data from the top news websites of India.
• Modified the crawlers to extract data within the given range and for the specified keyword.
• Tech stack: python, pandas, bs4, requests

Feb 2019 – Feb 2020 · 1 yr · Work From Home

• ✶ Question Solved: 85
• ✶ Number of UpVotes: 64
• ✶ Number of DownVotes: 14
• ✶ Solved Various Textbooks and Academics questions for students across the globe.
• ✶ Majorly focused on questions related to Python, Machine Learning, Data Science.
• ✶ Provided codes and outputs to the questions.

Jun 2018 – Jul 2018 · 1 mo

• Learned the fundamentals of Android and Java.
• Created various minor apps to perform minor tasks like an alarm clock and location specifier.

Jun 2017 – Jul 2017 · 1 mo · Lodhi road ,delhi

• Created a script to post a status to Facebook and Twitter about the latest earthquake.
• Found the time difference between occurrence and update of the earthquake in master data.
• Tech Stack: Python, Facebook, Twitter, selenium.