Mar 2025 – Jun 2025 · 3 mos · New Delhi, Delhi, India · Remote

Apr 2023 – Mar 2025 · 1 yr 11 mos

• At Turing, I played a key role in scaling our collaboration with Google to advance Generative AI capabilities—driving improvements in Problem Solving, Data Analysis, and Agentic Assistance through curated, high-quality datasets.
• Scaled the Google partnership from 20 to 200+ billing developers across multiple workstreams, enabling 10x growth in developer engagement and contributing to the company crossing $300M+ ARR in 2024.
• Led a team of 5 in delivering datasets that powered Google’s Gemini models, resulting in 3x revenue growth within the business vertical.
• Applied learning-to-rank techniques to enhance developer-job match quality, improving job-to-candidate match rates by 7% and boosting the Developer Chosen to Interview Happen (DC/IH) ratio by 12%.
• Designed and deployed machine learning ranking models using GBDT, LambdaRank, TF Lattice, and Mixed Effect Models to refine talent search and hiring efficiency.
• Created impressions-based datasets incorporating hiring team interactions, strengthening model training and evaluation.
• Streamlined dataset generation pipelines using Vertex AI, ensuring scalable and production-ready ML workflows.
• Extracted insights from developer resumes via OpenAI's GPT APIs, and refined prompt performance using LangChain, enhancing candidate profiling and search precision.

Jun 2022 – Apr 2023 · 10 mos

• Using learning to rank for prioritizing software developers in client job postings, driving optimized search and selection.
• Implemented and refined the software developer ranking model by conducting 100+ ranking experiments.
• Executed ranking experiments utilizing Machine Learning models like GBDT, LambdaRank, TF Lattice, Mixed Effect Models, etc.
• Propelled the ranking model development by engineering new features that rigorously tested business hypotheses.

Jan 2022 – Jun 2022 · 5 mos · New Delhi, Delhi, India

• Working on a Text Summarization problem to summarize and reorder the sentences in the product descriptions to improve the SEO of the E-commerce website of The Editorialist.
• Using the TextRank algorithm to extract the relevant sentences from the raw product descriptions and reordering them on the basis of the scores given out by the algorithm to each sentence. Using heuristics to clean the summarised descriptions as a part of the post-processing step.
• Website Link: https://editorialist.com/shop/

Oct 2021 – Jun 2025 · 3 yrs 8 mos · New Delhi, Delhi, India

• Current role includes but is not limited to: teaching Data Science and Machine Learning/Deep Learning concepts, solving doubts in programming questions, taking mock interview sessions and evaluating assignments.
• Currently, ranked 4th out of 35 on the Teaching Assistant Leaderboard.

Aug 2021 – Jan 2022 · 5 mos · Bangalore Urban, Karnataka, India

• Developed predictive models to predict the time taken to travel between two coordinates using Machine Learning and heuristic techniques. The travel time model would further help locate the ideal locations for placing new Delhivery Service Centres within a city.
• Developed a probabilistic classifier to predict the probability of a shipment being Returned To Order (RTO) at the time of manifestation. The model would help reduce the losses incurred due to the shipments being Returned To Order (RTO) at the time of manifestation.
• Worked on tech stacks like, Python, Machine Learning, Graph Algorithms, SQL and Redash.

May 2021 – Jul 2021 · 2 mos · New Delhi, Delhi, India

• Developed an Offer Recommender System from Bank’s Data using ALS, SVD and CoClustering techniques.
• Achieved a minimum RMSE of 0.95 and MAE of 0.55 using Singular Value Decomposition (SVD) technique.

Apr 2021 – Jul 2021 · 3 mos · New Delhi, Delhi, India

• Taught Machine Learning to 100+ students.
• Created video content on Data Science and Machine Learning topics that were taken by 5000+ students to increase their skills.

Sep 2020 – Oct 2020 · 1 mo · New Delhi, Delhi, India

• Developed Python courses for beginners.
• Developed a Market Basket Analysis model and a Forecasting Model using Machine Learning techniques.

Jun 2020 – Aug 2020 · 2 mos · New Delhi, Delhi, India

• Created content for all social media platforms using Adobe Photoshop and Illustrator.
• Analysed the funding received by start-ups in various sectors using MS Excel.

Jun 2020 – Jul 2020 · 1 mo · New Delhi, Delhi, India

• As the Market Research and Data Analysis Intern, worked on the concept of multiple brands with focus on different cuisine components.
• Created Individual brand entities for the same and identified key locations in Delhi-NCR.
• Prepared a location analysis with specific areas to be targeted, the analysis included but was not
• restricted to :
• a. Demographics
• b. Competition analysis
• c. Area of Service considering a minimum radius of 4 km per store

May 2020 – Jul 2020 · 2 mos · New Delhi, Delhi, India

• As the Social Media and Design Intern :
• Assisted with streamlining ROOTS social media accounts (Facebook, Instagram, LinkedIn) and ensured uniform content and tone of voice for all the platforms.
• Used LinkedIn polls and surveys to build social media footprint and reputation.
• Made all the creatives and graphics for all posts on Social Media.
• Made awareness of the new blog post by posting the articles on forums and groups.
• Tracked key social media analytics on monthly basis using google analytics.
• Generated inbound links for SEO.
• Worked in sync with other relevant team members to give best results.