Mar 2024 – May 2025 · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

Jul 2021 – Mar 2024 · 2 yrs 8 mos · Bangalore Urban, Karnataka, India

Aug 2018 – Jul 2021 · 2 yrs 11 mos · Bengaluru, Karnataka, India

• Media & Advertising Solutions
• Managed end to end product feature development leading team of interns created development roadmap and laid down tech requirements. Team implemented XGboost and Regression ensembled model to predict clicks which lead to significant lift in click-model accuracies.
• Developed framework to identify trending keywords using topic clustering and Google Trends data.
• Created framework for keyword multilingual variations generation using Bilingual word embedding. Presented at Adobe Tech summit in San Francisco

Mar 2018 – Jul 2018 · 4 mos · Bengaluru, Karnataka, India

• Designing state of the art abstractive Text Summarization system based on Encoder Decoder pointer network with coverage mechanism and sentence ranking.
• Implemented deep model compression improving end to end latency and server memory footprint using CNN Quantization .

Jun 2016 – Feb 2018 · 1 yr 8 mos · Bengaluru, Karnataka, India

• Technical Lead for Natural Language Intelligence in Samsung Music Application.
• Worked on LSTM and Convolutional Networks for intent and slot tagging in Bixby. Core team member responsible for commercialization of product
• Created architecture for Settings and Calendar domains, responsible for data creation to model training , improving accuracy and providing stability to the model
• Introduced and implemented concept of Intent Masking for Deep Slot Tagger modelling improving accuracy by 7 percent.

May 2015 – Jul 2015 · 2 mos · Greater Bengaluru Area

• Introduced Multinomial logistic regression for classifying and tracking user movement. Model currently being used by S –Voice analytic team. Used distributed system for analyzing the Big data of user log.

Feb 2015 – May 2016 · 1 yr 3 mos

• Researching financial literature to extract sources of new trading signals, combining these signals into robust long-short trading models
• Creating investment portfolios with high profit margins, with the objective of achieving high Sharpe ratios and low turnover ratio
• Actively trading with momentum strategy and strategies with Technical and Fundamental indicators and combination of both, using price- volume data along with Company Fundamental Data and Analyst Estimate data on the NYSE

Jun 2014 – Jul 2014 · 1 mo

• Established the relation of Correlation and Magnitude Surprise with the next-day returns on different financial assets. Developed an investment algorithm for asset allocation and implemented it on Indian Stock Market getting a Sharpe ratio of 1.29

May 2014 – Jul 2014 · 2 mos · Greater Delhi Area

• Performed 2-D time domain Full seismic waveform modeling and Inversion for imaging earth’s subsurface.

May 2013 – Jul 2013 · 2 mos · Greifswald, Mecklenburg-West Pomerania, Germany

• Estimated the chaotic component in financial time series of London and Athens stock exchanges by correlation dimension technique. Implemented Swiss Cheese Model of Random Fractals generation by marked Poisson probability distribution.

Jun 2012 – Jul 2012 · 1 mo · Pune/Pimpri-Chinchwad Area

• Devised the Inventory Management Information System and used different analysis techniques such as ABC analysis to identify the important items.Analyzed the investment in inventories and calculated reorder point, safety stock levels, minimum and maximum level of inventories, inventory turnover ratio and Economic Order Quantity (EOQ).