Nov 2025 – Present · 7 mos · Sahibzada Ajit Singh Nagar, Punjab, India

Jan 2025 – Nov 2025 · 10 mos · On-site

• Division - C&I Data Engineering
• Spearheaded the onboarding of 300+ data jobs into the batch framework, collaborating with relationship bankers and data analysts to optimize business processes and ensure seamless
• operational integration.
• Automated job orchestration and scheduling workflows using Airflow, enabling seamless batch
• communications across 200+ teams and ensuring reliable data delivery for critical bank operations.
• Built monitoring utilities overseeing 3,000+ batch workflows, detecting and communicating
• failures in real-time, reducing operational downtime by 30%.
• Enhanced batch job performance and resource utilization by optimizing configurations and
• partitioning strategies, supporting data pipelines that directly impact £100–200M in bank operations
• annually.

Jul 2023 – Jan 2025 · 1 yr 6 mos · On-site

• Division: Commercial MLOps
• Built and deployed a GPT-4-based POC tool for PDF metric extraction, achieving 95%
• accuracy and driving cross-team adoption by demonstrating significant time savings in reporting
• processes.
• Led the migration of 1,000+ lines of SQL code to PySpark, enabling scalable data processing
• and reducing runtime bottlenecks.
• Performed data quality testing with PyDeequ, executing Null, Uniqueness, String Pattern, and Time Series checks to ensure data reliability.
• Designed and implemented unit tests for PySpark pipelines using Pytest, achieving 90% code
• coverage and ensuring robust, production-ready code.

Jan 2023 – Apr 2023 · 3 mos · Delhi, India

• Assisted in the administration of Foundations of Marketing course to Prof Pinaki Dasgupta.

Sep 2022 – Dec 2022 · 3 mos · Delhi, India

• Assisting in the smooth administration of the UG+PG course, Urban Space and Political Power.

Nov 2022 – Dec 2022 · 1 mo · Remote

Sep 2022 – Apr 2023 · 7 mos · Delhi, India

• Under Dr. Ganesh Bagler | Final BTech Project
• Explored the intersection of computational techniques and text generation, focusing on creating meaningful prose and poetry.
• Developed deep learning models (RNNs, LSTMs, GANs, Transformers) to generate song lyrics with style- and content-based constraints.
• Curated a lyrics corpus from 20 artists and evaluated model outputs using BLEU, GLEU, and NIST metrics to measure quality and coherence.
• Project Title: Data-Driven Song Lyrics Generation and Evaluation.

Mar 2022 – Aug 2022 · 5 mos · Hyderabad, Telangana, India

• Department :- Centre for Analytical Finance ( CAF ) ISB, NSE - ISB Trading Lab.
• Professor :- Dr Prasanna Tantri
• Mentor :- Aditya Murlidharan
• Projects
• Designed and implemented a scoring model for CRIF to evaluate and rank 50+ lending firms
• (listed and unlisted) by leveraging NLP techniques (stemming, lemmatization, tokenization).
• Created a case study for the Bank of Maharashtra, computed key banking ratios, and visualized
• macroeconomic data to provide actionable insights.
• Short Coursework (for Undergraduate Interns)
• Asset Pricing and Investment Strategy: Nishant Kashyap FPM Scholar ISB (PhD equivalent)
• Accounting: Sriniwas Mahopatra FPM Scholar ISB (PhD equivalent)

Nov 2021 – Jun 2022 · 7 mos · Delhi, India

• For a brief period I was the management head for all the technical events pertaining to the GDSC chapter at IIIT Delhi. Was able to furnish and work on my administrative skills into delegation of tasks and copywriting, where in a huge part of my work involved getting people together ( peers and juniors alike) for organizing technical events for the junior cohorts in my college.

Nov 2021 – Dec 2021 · 1 mo · Masqaţ, Oman

• Was engaged as an internship trainee at one of the largest proprietary books of the Middle East. Consistently ranked as the Best Bank of Oman and among Forbes’ top listed firms.
• Departments I was engaged with as a trainee.
• 1. Finance
• 2. Capital Markets
• 3. Global Finance Institutions
• 4. Risk Management

May 2021 – Jan 2022 · 8 mos · Muscat, Masqaţ, Oman

• Jumped on the Content Creation bandwagon, from which I explored my niche for podcasting and copywriting while working for the entire page. We were able to consistently generate high quality content by weekly producing an episode every week, and we were able to run for two complete seasons. Stemming from our own experiences from being International students in an inferior culture altogether, we began our podcasting venture to share our own theme of learning from this culture shock as well as having to quickly pace adulting in unfamiliar situations.
• We were able to engage and delegate a couple of high-schoolers into their own first content creation internship experience.
• Through this podcast, I was able to network with several high-performing individuals in their niches while learning from their entire journey, this growing experience has made the conviction firmer pertaining to how remote is indeed the future of work, and there’s no denying the amount of growth one can have with just a laptop at their perusal.
• Towards the end, we produced 17 well received episodes.
• Would be more than happy to guide anyone who’s looking to kickstart their own podcasting page but aren’t well versed with the technicalities of it. Feel free to DM!

Aug 2020 – Aug 2020 · 0 mo · Remote

Sep 2019 – Jan 2021 · 1 yr 4 mos · Delhi, India

• Batch representative of CSAM 2019-2020 in the Student Council. I was a part of the council which is held responsible for voicing out the concerns and the on-goings of day to day activities in the institution for the benefit of the students.

May 2019 – Jun 2019 · 1 mo · Muscat, Oman

• Engaged as an internship trainee in the field of Supply Chain Management. Meticulously documented my observations as a part of the internship project along with 3 case studies involving large hypermarkets and their model of functioning in accordance with the Supply Chain of goods.