Jun 2022 – Sep 2025 · 3 yrs 3 mos · Bengaluru, Karnataka, India · On-site

• Worked & Mentored folks on multiple use cases leveraging LLMs in real-time.
• Worked on detecting fraud at different tangents of e-commerce.
• Worked on devising the precise location by giving the address as input to help delivery partners.
• Worked on Search & Recommendations systems to achieve GMV uptick by +0.6%

Apr 2021 – May 2022 · 1 yr 1 mo

Mar 2020 – Mar 2021 · 1 yr

Nov 2019 – Feb 2020 · 3 mos · Greater Bengaluru Area

• ◦ Built feed recommender for Healofy users using Sequence and contextual mapping.
• ◦ Developed an OCR and detected text from images and videos in several vernacular languages with an overall accuracy of 77%.
• ◦ Developed a system that filters out non-relevant content from the platform in real-time and further educates the users about the post they can upload. The accuracy of the model is 83%.
• ◦ Developed models like language prediction, incorrect spelling finder and recommending possible correct words.
• ◦ Key-skills used: Python, Keras, Deep Learning, NLP, ML & Probability.

Jun 2018 – Oct 2019 · 1 yr 4 mos · Bengaluru, Karnataka, India

• I worked with two organizations during my tenure at Nineleaps:
• 1. RoamAnalytics:
• ◦ The main work was to build a knowledge graph around the US healthcare domain which is used by the doctors as a helping hand to predict the disease faced by the patient more accurately. Also, it tells which medication should be provided to cure that disease along with the analytics associated with the medication.
• ◦ Developed Airflow dags that trigger python scripts to collect data from various sources & perform pre-processing.
• ◦ Used NLP to extract Named Entities (using lexical & semantic analysis) from unstructured text and perform ML algorithm on top of extensive data analysis to connect new data sources with pre-existing data sources and make them interesting and informative by inserting it to Neo4j Graph.
• ◦ Key-skills used: Machine Learning, Python, NLP, Airflow, Ansible, Terraform, Jenkins & Trifecta.
• 2. Tesco:
• ◦ The main work was to forecast the demand for the product in the store. Here we followed the rule-based approach so as to get the optimum profit from it as soon as possible.
• ◦ Used Big Data Technologies like PySpark, Oozie, and Sqoop, to get the data from relational databases to HDFS and perform the rule-based approach on them.
• ◦ I was also awarded the Nineleaps Rising Star Award.

Jan 2018 – May 2018 · 4 mos · Bengaluru, Karnataka, India

• Worked on Sentence similarity and Keyphrase Extraction in three language including English, French and Spanish. Also contributed in Stride's internal package that read the text from pdf along with the typographical emphasis they have.

Jun 2017 – Jul 2017 · 1 mo · Bengaluru, Karnataka, India

• ◦ Worked on the research project called "Modeling Online Social Cognition as a Marketplace of Opinions" with Prof. Srinath Srinivasa and created a Web App called Mithya for identifying opinion drivers and directions on social media.
• ◦ Key-skills used: R, Shiny.

Nov 2016 – Oct 2019 · 2 yrs 11 mos · Greater Bengaluru Area

• I am one of 40 mentors who is mentoring the students for the course: Machine Learning by Stanford University.

Oct 2016 – Sep 2019 · 2 yrs 11 mos · Greater Bengaluru Area

• Checks most of the new courses that comes on Coursera, and is made public only if it is approved by Beta-Testers.

Jun 2016 – Jul 2016 · 1 mo · Bhubaneshwar, Odisha, India

• Developed an Android application which can tell whether the signal (ECG or PPG) received from the patient is good or not, by performing certain number of operations.

Dec 2015 – Jan 2016 · 1 mo · Greater Jaipur Area

• Developed data Visualization dashboards using D3.js. The dashboards are created using HTML, CSS and JavaScript.