# Akshita Sukhlecha > LLM@Weav.AI | Ex-Observe.AI | Ex-Walmart | IIT Roorkee | Georgia Tech Location: San Francisco, California, United States Profile: https://flows.cv/akshita Hands-on engineer with experience in end-to-end development of machine learning systems. I bring 10 years of diverse industry experience at a Document AI startup, Conversational AI startup and Display Advertising Team at Walmart. I have worked in predictive behavior modeling, ad click prediction systems, NLP, LLM, RAG, Agentic workflows and spoken language understanding domains. I enjoy working on all stages of ML project development - defining ML problem statement to designing and prototyping to model development to deployment. I am skilled in various programming languages, ML libraries/frameworks, and other related tools that are widely used by ML community. From education front, I am a graduate in Computer Science with Machine Learning specialization from Georgia Tech. I completed my undergrad from IIT Roorkee in 2015. ## Work Experience ### Staff ML Engineer @ weav.ai | Enterprise AI Copilots Jan 2023 – Present | San Francisco Bay Area • Document Search - Developed a fast, accurate, and cost efficient document search engine using the multiple techniques like context preserving chunking strategies, generating document outline of headings and sub-headings for information location etc. • Document Agent Builder - Developed a ReAct prompting-based agent builder framework by which users can create use-case specific agents with the help of Weav tools library. An agent can perform complex and multi-step tasks involving searching documents, querying tables, searching the internet etc • Insurance Underwriting Copilot - Designed and developed the AI backend for underwriting assistant copilot. This copilot extracts data from submission documents and external databases and consolidates it to create a knowledge graph. Then, performs exposure analysis and loss runs review using Knowledge graph agent. ### Lead Machine Learning Engineer @ Observe.AI Jan 2021 – Jan 2022 | Bengaluru, Karnataka, India ◦ ML based Agent performance evaluation: Led a team of three ML engineers. Project involved building text classifiers to identify specific agent behaviors (apology, empathy, confirmation, understanding-issue) and establishing their value in agent performance evaluation. Also, played a critical role in project planning and product design. ◦ Agent transfer detection: Ideated and defined the project to identify if agent transferred call to another agent. Built data labeling guidelines, developed model and integrated with production system as a REST API service. ◦ Lego v2 service: Developed a service that combines outputs of multiple models based on the product logic eg: combining money-entity detector model and loan-keyword detector model to confirm if agent stated the amount customer owed. It enables defining custom combination logic of multiple models and seamless onboarding of ML models. ◦ ML infra cost monitoring and optimization: Developed a tool to track ML infra cost that provides breakdown across various ML services and environments. Implemented two key measures - concurrent request processing using cooperative multi-tasking framework and efficient service scaling policies - leading to 43 percent reduction in ML service infra cost. ### Senior Machine Learning Engineer @ Observe.AI Jan 2020 – Jan 2021 | Bengaluru, Karnataka, India ### Data Scientist @ Walmart Labs India Jan 2017 – Jan 2020 ◦ Bidding strategies for display ad campaigns: Built ML models to predict site-revisit probability, purchase probability, and profit estimate for Walmart users based on site activity logs. Model prediction scores were used to decide bid to show ads to users. ◦ Ads impact measurement: Designed bias-free A/B testing strategy to measure the incremental purchases driven by display ads. ◦ ML interpretability: Surveyed state-of-the-art approaches of ML interpretability. ### Software Developer @ Walmart Labs India Jan 2015 – Jan 2020 • Worked on Walmart Chrome extension and supporting backend server. • Developed Android SDK and API server to enable affiliate partners to easily integrate Walmart Add-to-cart button into their apps. ### High Precision 3-D Mapping using Kinect @ Polytechnique Montréal Jan 2014 – Jan 2014 Developed a module for near real-time 3D mapping of unknown environments (buildings, rooms). Such a mapping would benefit several robotics applications, especially autonomous robot navigation. The project aimed to achieve this using a Kinect depth sensor, without the use of any odometry source. It involved study of the existing ROS libraries for offline 3d mapping and debugging and tuning them to meet the online requirements. ## Education ### Master of Science - MS in Computer Science with Machine Learning Specialization Georgia Institute of Technology Jan 2019 – Jan 2021 ### Bachelor of Technology (B.Tech.) in Electrical Engineering Indian Institute of Technology, Roorkee Jan 2011 – Jan 2015 ## Contact & Social - LinkedIn: https://linkedin.com/in/akshita-sukhlecha --- Source: https://flows.cv/akshita JSON Resume: https://flows.cv/akshita/resume.json Last updated: 2026-03-22