Apr 2024 – May 2025 · 1 yr 1 mo · Cary, North Carolina, United States · Remote

• Google Gemini Generative AI Project:
• Generalized AI Agent Development: Designed and implemented autonomous multi-agent pipelines using LangGraph and AutoGen. These agents could independently trigger actions such as deleting Slack messages for a specific user/date, drafting emails, fetching real-time external data, and summarizing documents. Ensured complete end-to-end task execution with strong assertion checks to validate tool behavior and response reliability.
• Reinforcement Learning from Human Feedback (RLHF): Led RLHF training initiatives by collecting and curating human preference data, designing reward functions, and training reward models to guide LLMs toward responses aligned with real-world user intent, safety policies, and preferred style. This improved ranking capabilities and ensured model-generated outputs met judgmental criteria.
• LLM Response Evaluation: Performed qualitative and quantitative analysis of model-generated responses, measuring correctness, coherence, style, and safety. Evaluated LLM outputs across use cases to ensure responses are contextually accurate, user-aligned, and factually sound.
• SXS Evaluations & Stress Testing: Conducted Side-by-Side (SXS) evaluations to compare output quality across different model versions. Designed stress test prompts to uncover behavioral edge cases and identify emerging failure modes or bias patterns, contributing to continuous improvement.
• Super-Fine Tuning on Domain-Specific Data: Fine-tuned models on curated domain-specific corpora (medical, legal, financial, etc.) using tailored instruction templates. This significantly improved LLM performance in high-accuracy-required scenarios and domain compliance.
• Reasoning Capability Enhancement: Applied techniques like chain-of-thought prompting, few-shot examples, and ablation testing to elevate the model’s multi-step reasoning skills. This improved the ability to handle complex instructions, logical breakdowns, and structured query resolution.

Sep 2023 – Mar 2024 · 6 mos · Gurugram, Haryana, India · On-site

• Responsibilities & Contribution:-
• Inventory Health Analysis: Conduct ABC analysis, inventory turnover, and stock-out analysis to optimize inventory levels, reduce carrying costs, and ensure products' availability while minimizing excess stock.
• Customer Behavior Analysis: Utilize customer order history and feedback data to understand purchasing patterns, preferences, and trends, contributing insights for personalized marketing strategies or product placement.
• Cancellation Trend Analysis: Analyze historical data to identify patterns and trends related to order cancellations. Investigate reasons such as stock unavailability, shipping delays, or customer dissatisfaction.
• Customer Segmentation Analysis: Segment customers based on order cancellation behavior, demographics, purchase history, and interaction patterns to understand which groups are more prone to cancellations and why.
• Feedback and Sentiment Analysis: Analyze customer feedback, reviews, and support interactions to understand the underlying reasons for dissatisfaction leading to cancellations and gauge sentiment trends.
• Analysis Tools Used:
• Python - Pandas
• Mysql
• Power Bi
• Adv Excel - Power Query, Macros Automation
• NLP
• Machine Learning

Nov 2022 – Sep 2023 · 10 mos · Delhi, India · On-site

• Responsibilities & Contribution-:
• Built a predictive model for driver churn prediction, enabling proactive measures to retain customers and reduce customer attrition. The model accurately identified customers at risk of churning, allowing targeted retention strategies to be implemented, leading to a 15% decrease in customer churn rate.
• Conducted in-depth analysis of battery usage patterns and identified opportunities to reduce the number of idle batteries in the swapping stations. By implementing data-driven strategies, such as optimizing battery allocation algorithms and adjusting pricing plans, idle battery numbers were reduced by 25%, resulting in improved operational efficiency and cost savings.
• Utilized statistical analysis on IOT data received from batteries to identify key factors influencing battery performance, such as temperature, charging patterns, and usage frequency. This analysis provided valuable insights for improving battery maintenance procedures, resulting in a 30% increase in battery lifespan and reducing maintenance costs.
• Collaborated with cross-functional teams, Conducted market research and analyzed demographic and geographical data to identify potential target cities for new battery swapping stations. These insights facilitated informed decision-making and successful expansion into three new cities, contributing to a 40% increase in revenue.
• Build data-driven fraud detection system that compares the data received from swapping stations with data received from IOT device and calculate the swap & revenue gap and help identify the possible dealers(swapping station) doing fraud in swaps and revenue.
• Created comprehensive reports and data visualizations using Power BI to effectively communicate analysis findings and actionable insights to stakeholders.
• Analysis Tool:
• Python Library: Pandas, NumPy, Statistics, Matplotlib, Seaborn
• Excel & Google Sheets
• Power BI & Tableau
• Data Modeling
• MySQL
• Machine Learning

Jun 2022 – Nov 2022 · 5 mos · Delhi, India · On-site

• Key Responsibilities:
• worked as an intern and gained better understanding of extracting data using SQL queries, cleaning, transforming data moreover finding actionable insights for organisation by doing explanatory indepth statical data analysis, building powerful dashboards on Power BI, forecasting based on past data.

Aug 2021 – Jul 2022 · 11 mos · Ireland · Remote

• I was working here as a contractual content creation partner where my responsibility was to create content for meta/facebook and gain retention on content as per contract.

Jan 2020 – Dec 2020 · 11 mos · Noida, Uttar Pradesh, India

• Key responsibilities:
• Responsible for Maintaining Functionality Of Website Both Front End Back End
• Maintaining Database Of Company, Performing CRUD Operations on Data, Updating Website on regularly As Per Company Requirements.
• Responding to Website Visitors Queries & Redirecting Them To Sales Professionals, Running & monitoring Facebook ads, doing search engine marketing, Writing Blogs for website, Keeping Track Of Users Activity/Action On Website, Collection Of Customers Data From Contact Forms And Providing To Business Development Managers.

Aug 2018 – Jun 2019 · 10 mos · Noida Area, India

• Key responsibilities:
• I Was Responsible For Fixing Glitches, Bugs Related To Newly Released Software/Products
• Helping Users With Their Technical Issues, Testing of New released Games Glitches, Handling Customer Queries Efficiently.
• Providing Fixes To Their Technical Problems With Easy To Understand Troubleshooting Steps.