Oct 2019 – Mar 2024 · 4 yrs 5 mos · Pune, Maharashtra, India · On-site

• Defining data domains for alternative investments to architect data modernization solution.
• Built analytics tools to save both time and cost for business stakeholders.
• Developed data analytics solutions that provides insights to Quant Researchers.
• Designed and implemented highly scalable backtesting framework to replace legacy system.
• Built ETL pipeline on Azure to web scrap and store EDGAR dataset onto Azure ADLS Gen2.
• Implemented data quality platform to monitor data quality as part of Data Governance initiative.
• Designed Knowledge graph for data visualization, data lineage and data analytics needs.

Jul 2019 – Oct 2019 · 3 mos · Hyderabad Area, India · On-site

• Modelled data into Graphs to identify patterns using graph algorithms.

Mar 2017 – Jun 2019 · 2 yrs 3 mos · Bengaluru, Karnataka, India

• Worked on building a real time predicative-analytics health-care platform using HDF and HDP. Used Java for coding plus related technologies like NIFI, SPARK, KAFKA, ZOOKEEPER, HBASE, HIVE, IGNITE and POSTGRES for building the platform. Followed Agile methodology using JIRA, BITBUCKET, BAMBOO and Confluence. I also deployed an elastic search cluster using Docker. I have used Devops tools like Docker, Bamboo, Jenkins, Git etc.

Oct 2016 – Feb 2017 · 4 mos · Bengaluru Area, India

• Matching engine using drools and apache spark.

Oct 2014 – Sep 2016 · 1 yr 11 mos

• I have worked as as full stack developer for first 6 months on AdTech project using Python, MySQL in backend and AngularJs in front end.
• After that I got an opportunity to work on Big Data and Machine Learning. I have implemented technique, Latent Semantic Analysis(LSA) using MLIB of Apache Spark and Scala for processing 105 GB of jave code on a standalone cluster containing 4 nodes for building contextual code semantic search engine. These work was done for Imaginea Labs as part of Kodebeagle project.
• In order to improve retrieval time of results, I have experimented and successfully improved retrieval time of queries using locality sensitive hashing (LSH) on 105GB of data. These work was done for Imaginea Labs as part of Kodebeagle project.
• After I have proposed a novel algorithm for mining patterns in control flow graphs of java code snippets. Algorithm does clustering and frequent subgraph mining on control flow graphs to mine and discover possible patterns for any given API( Application programming interface). Algorithm concentrates on finding data flow between methods of same object to understand possible usage pattern. Later this usage patterns are suggested to users(Developers) for better understanding of language API's. These work was developed using Java and scaled using Apache Spark.
• I also worked on sentiment analysis using Standford coreNLP, scala and Apache Spark.

Oct 2014 – Sep 2016 · 1 yr 11 mos

Mar 2014 – Oct 2014 · 7 mos

• My responsibilities include developing of web performance analysis and optimization framework for Virtual labs hosted on IIIT Server. We started with client side web performance optimization and developed automated framework for analyzing and visualizing web performance for thousands of web pages using tools like YSLOW.

Aug 2013 – Feb 2014 · 6 mos

• Made an automated frame work that uses power of both CPUs and GPUs. Framework is build using MPI, open MPI and CUDA programming. It will use CPUs and GPUs as slaves in huge cluster with master controlling slaves. Each slave machine can have multiple CPU's or GPU's which are controlled by a controller at each slave machine.

Jan 2013 – May 2013 · 4 mos

• Conducting classes, taking tutorials and helping course instructor in preparing and making lectures useful for students.

Aug 2012 – Dec 2012 · 4 mos

• Conducting classes, taking tutorials and helping course instructor in preparing and making lectures useful for students.

Jan 2012 – May 2012 · 4 mos

• Conducting classes, taking tutorials and helping course instructor in preparing and making lectures useful for students.

Aug 2011 – Dec 2012 · 1 yr 4 mos

• Making virtual experiments to enhance students understanding of cryptographic concepts.

Aug 2010 – Jul 2013 · 2 yrs 11 mos

• I studied following fields of theoretical computer science Data Structures, Algorithms, Complexity Theory, Cryptography, Distributed Algorithms and Computational Geometry. I have tried to solve some of the open problems in above mention fields.
• My thesis with title "Efficient Data Structures and Algorithms for Range-Aggregate problems" is on two fundamental problems of computational geometry, "Planar Range Skyline" and "Planar Range Convex Hull". These problems require rigorous analysis of geometrical structures and complexity theory skills. The problem is even more critical because it has strong application in VLSI, Databases, Data Mining, Computer vision and Computer Graphics.

Jan 2014 – Sep 2016 · 2 yrs 8 mos · Hyderabad Area, India

Sep 2012 – Dec 2012 · 3 mos

• I worked on designing user interface using haml, object oriented css and other web technologies. I also got some exposure on Ruby on Rails framework.