May 2024 – Jul 2024 · 2 mos · Mumbai, Maharashtra, India · On-site

• I developed strategies for predicting index movements in Indian markets by utilizing custom-weight simulations and machine learning models. Focusing on Bank Nifty futures, I employed statistical tests to accurately forecast price trends. The strategies were rigorously back-tested and validated over five years of data, achieving a Sharpe ratio above 2 and average returns exceeding 15% per annum. My performance and collaboration in this project led to a Pre-Placement Offer (PPO).

Mar 2024 – May 2024 · 2 mos · Remote

• We created an automated project management web app integrated with Slack using GPT-4 API, streamlining team workflows. The front-end dashboard, designed with Ruby on Rails, was successfully deployed and tested on Heroku, providing each team member with an intuitive interface. Additionally, I engineered a chat-bot using LLaMA API and Prompt Engineering, facilitating both one-to-one and many-to-one conversations within the team. This solution aided task completion rates by as evidenced by user engagement metrics and team performance analytics.

Sep 2023 – Jun 2024 · 9 mos · London · Remote

• We developed an innovative music recommendation system by shadow modeling the GPT-3.5 summarization task, leveraging a custom dataset. By fine-tuning models like BERT, BART, and GPT-2, I enhanced sentiment analysis in song lyrics, utilizing 6,000 curated summaries. Additionally, I implemented Synset-Vectorization, creating context and concept vector spaces to achieve emotional similarity in recommendations. Through A/B testing and introducing sentiment-based cross-genre recommendations, I improved the system's accuracy by 20%.

Sep 2022 – Jun 2023 · 9 mos · Remote

• Approached the time-series forecasting of sequence data via Augmentation of Human Input and Machine Intelligence. Accuracy of existing models was enhanced by incorporation of Computable Human Predictions into established algorithmic predictions and further aimed to aggregate the foreign input without any data pre-processing or cleansing and zero noise loss owing to redundancy

May 2023 – Jul 2023 · 2 mos · Saclay, Île-de-France, France · On-site

• Studied the impact of mobility on resource allocation strategies in MEC (Multi-access edge computing) infrastructures, identified the possible attacks and defenses aimed towards Federated Learning next-place predict frameworks and aggregated trajectories along with implementation of the trajectory classification and trajectory predict Federated Learning Frameworks with their security simulation.

Sep 2022 – Dec 2022 · 3 mos

• Developed and Deployed a Smart Sleeping Equipment equipped with a constant contact-less health monitoring framework and further aggregated the senor data using Multi-Boundary Classification to identify irregularities and their health consequences

Aug 2022 – Dec 2022 · 4 mos

• Worked in the IOT labs of IITK working on developing health tracking mechanism with the help of Digital Twin.

Jun 2022 – Dec 2022 · 6 mos · Kanpur, Uttar Pradesh, India

• Involved recruiting startups and helping them achieve the DWDG stand in the market with the help of ShARE excellence programme

Mar 2022 – Dec 2022 · 9 mos · Kanpur, Uttar Pradesh, India · On-site

• Student of the ShARE leadership programme of excellence, learning to help established corporations function in the DWDG(Do Well Do Good) manner.

Dec 2021 – Jun 2022 · 6 mos · Kanpur, Uttar Pradesh, India