I have over 8 years of experience in data science and engineering since graduating from one of the premier institutes of technology in India, IIT-Delhi. In between for 3 years, I also co-founded a startup called Padosi, which was a social networking platform for neighbours. Also, founded an NGO focused on bringing transparency and accountability to political and Non-profit organisations using blockchain technologies.
Starting as a spot crypto trader, I quadrupled my portfolio from September 2017 to January 2018. After the 2018 collapse, I incurred losses. I started trading with leverage using Bitfinex and Bitmex in April 2018. I started following YouTube channels, gained an understanding of TA, Elliott's wave, and Fractals. Since 2019 gained enough understanding to convert 0.01 BTC to 0.1 BTC when the price of BTC rose from 6000$ to 13000$, making a $1,000 profit from 50$ as initial capital by taking 2 trades at 7-13x leverage. When the BTC price collapsed to 4000$ bought BTC aggressively at 6000$, started DCAing into promising altcoins, putting around 30$ each into a set of altcoins from my salary every month since April 2020. By the end of 2020 converted an investment of 3000$ in altcoins and accumulated 0.3 BTC. The above altcoin portfolio peaked at 35000 $ in 2021. Invested in Shiba Inu early, having around 13 billion tokens of SHIB, invested 100$, sold when it reached 2500$, had I not sold it, it would have peaked to 1 million $. After the BTC collapse at the end of 2021 started DCAing to gain more BTC, reached the milestone of 1 BTC, kept following news and videos to understand more as to how to read charts and trade solely based on charts. Publicly correctly called the downtrend reversal of BTC on Twitter. Publicly shared successful consecutive high-leverage trades (100x, 50x, etc) on Twitter. Worked on a pet AI-driven project to create a technical indicator whose value ranges from 0-100, and anything above 50 means a good buy zone. Applied it to leverage trading using Bybit APIs, it can take multiple consecutive successful leveraged trades. Focused on my career for some time. Worked on a small pet product to serve the crypto traders community. While taking freelancing data science and engineering work to keep the money afloat.
Experience: 11 years
Yearly salary: $100,000
Hourly rate: $75
Nationality: 🇮🇳 India
Residency: 🇮🇳 India
Experience
Manager Data Engineering
Publicis Sapient 2025 - 2025
Working with one of the biggest global US-based banking clients to serve their need to migrate their data from on-prem to the cloud, leading a team of 5 subordinates as a technical lead and as a representative from Sapient to the client. GenAI-based Data Quality POV and POC, leading a team of 3 Subordinates separately. Rewards and Recognition Volunteer - Volunteered to create content.
Senior Lead Engineer
Kipi.ai 2024 - 2024
As an Architect, I oversaw a POC for Change Data Capture(CDC) where data sources were RDS/Postgres or GCP/Mysql and the destination was Snowflake using Amazon MSK serverless (Amazon Managed version of Kafka) and Debezium connector. IaC tool Terraform was used to set up the infrastructure. Debugging was done using CloudWatch logs because of the fine-grained nature of logs it prepares. Did data validation for an initial set of tables, and data validation of the existing Hevo CDC architecture integrated into the client's infrastructure.
FOUNDER
POLTU: Blockchain NGO Non-Profit 2023 - 2024
Bringing transparency and accountability to political and non-profit organisations through the use of public blockchain technologies. Led a team of Technical and Non-technical people of 8 people with various functions like marketing, design, content and sales. Launched two sets of Non-Fungible Tokens (NFTS). FADE NFT - (Faces of Demons) and Demon NFT - (Demonetisation NFT). Sold 50,000 INR worth of NFTs based on the current ETH price.
SDE-III Big Data
Junglee Games 2021 - 2023
Led and Launched Junglee Poker Data Engineering of a Technical team of 5 from scratch as a data architect, which contributed to 10% of the company’s revenue. Designed the data flow and transformation architecture, including business analytics-related KPIs to be integrated with Tableau and Metabase using databricks for the Poker Game. Enforced as a habit within the Poker Data Engineering team to make use of our in-house developed data quality and alerting tool. Worked on various requirements on the howzat and rummy side, coming from the business analytics and data science team, to stabilise our data engineering systems and processes. Handled clickstream and KYC data in the Rummy and Howzat games domain. Scaled Machine Learning Fraud Model of the data science team using PySpark.
Senior Manager
Renew Power 2020 - 2021
Handled the wind energy domain and all the responsibilities of data as a data architect using databricks. Procured and trained wind turbine images alongside another data engineer to automatically detect defects, soiling, etc, for a low-cost maintenance schedule. Overhead requirements gathering and creation of various data pipelines for gathering and transforming REST API data and file-based data, such as CSV, as a source using Pyspark notebooks in Azure Data Factory, both as a Data Architect and individual contributor in some cases. Built and took ownership of any new, existing business-critical Workflows using logic apps to create email alerts to various business-centric lists of people in the organisation to fill their Excel sheets, which were important for reporting to CXOs.
Senior Data Engineer
Doubtnut 2020 - 2020
Set up the dockerized metabase instance along with the airflow environment with Data Governance Policies. Set up a backend raw data migration service to Redshift using Amazon Migration Service. As a Data Architect built various airflow pipelines to merge different kinds of data into ETL tables in Redshift based on Kimball dimensional modelling to be queried across the organisation by different teams. Guided a data engineer to handle the company’s app log data coming from a streaming format to gain insights from it.
Research Engineer
AcquiredLang 2018 - 2019
Automated Twitter analytics & game application using deeplearning4j library and Scala using TDD, acquired lang in current statistical AI methods, parse tree traversal and time concept in language. Used Word2vec algorithm because it can capture the contextual meaning of a word using a corpus of text as training data. Used Twitter APIs to get the most relevant real-time text data. Used Deeplearning4j because of the nature of its integration with Java and Scala, using Maven, along with the wide range of algorithms it supports. Worked closely with the CTO for QA and development for a new conversational programming language based on English semantics and Sanskrit grammar called AquiredLang.
Part-time - Crypto Manual and Algorithmic Trader, Spot and Derivative
Self Employed 2017 - 2025
Starting as a spot crypto trader, I quadrupled my portfolio from September 2017 to January 2018. After the 2018 collapse, I incurred losses. I started trading with leverage using Bitfinex and Bitmex in April 2018. I started following YouTube channels, gained an understanding of TA, Elliott's wave, and Fractals. Since 2019 gained enough understanding to convert 0.01 BTC to 0.1 BTC when the price of BTC rose from 6000$ to 13000$, making a $1,000 profit from 50$ as initial capital by taking 2 trades at 7-13x leverage. When the BTC price collapsed to 4000$ bought BTC aggressively at 6000$, started DCAing into promising altcoins, putting around 30$ each into a set of altcoins from my salary every month since April 2020. By the end of 2020 converted an investment of 3000$ in altcoins and accumulated 0.3 BTC. The above altcoin portfolio peaked at 35000 $ in 2021. Invested in Shiba Inu early, having around 13 billion tokens of SHIB, invested 100$, sold when it reached 2500$, had I not sold it, it would have peaked to 1 million $. After the BTC collapse at the end of 2021 started DCAing to gain more BTC, reached the milestone of 1 BTC, kept following news and videos to understand more as to how to read charts and trade solely based on charts. Publicly correctly called the downtrend reversal of BTC on Twitter. Publicly shared successful consecutive high-leverage trades (100x, 50x, etc) on Twitter. Worked on a pet AI-driven project to create a technical indicator whose value ranges from 0-100, and anything above 50 means a good buy zone. Applied it to leverage trading using Bybit APIs, it can take multiple consecutive successful leveraged trades. Focused on my career for some time. Worked on a small pet product to serve the crypto traders community. While taking freelancing data science and engineering work to keep the money afloat.
Co-Founder and CTO
Locio 2016 - 2018
Private and secure social networking app for neighbours. Handled a technical team of 3 for everything related to the development. Did the UI UX design of the Android app.
Senior Data Engineer
Target 2015 - 2016
Did source code changes to the Spark Scala open-source codebase to integrate GPU with Spark using the Opencl framework Aparapi. The purpose of the above exercise was to decrease the time complexity of running heavy Data Science algorithms in distributed frameworks by doing vertical as well as horizontal levels of parallelism. Led data migration team for the smart building energy project. Handled streaming of store equipment IOT devices to gain rudimentary insights. Worked on Word2Vec-based Recommendation Engine for Target’s E-Commerce website.
Scientist
Kvantum (Acqui-Hired by Target India) 2013 - 2015
Design, ETL, backend codebase in AWS using Scala programming language using TDD framework, scaling ML algorithms written in C++ by the data science team in Spark. Set up the infrastructure of Multimode Cassandra & Spark server for handling a high volume of incoming client data. Did integration of Docker and zeromq as a POC. Migrated Python code for finding local minima and maxima after going through the analysis smooth engine to a Scala version to compare performance.
Skills