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A Bit About Me

I am passionate about learning new things and solving problems. I have got passion, a keen eye for detail and a curious mind that work together to achieve some amazing things.

My core focus of interests are: Machine learning, Data Science and Data Visualization. I have worked on multiple projects to pursue my passions and I am eager to employ my strong problem-solving skills to support businesses in making data-driven decisions effectively.

Work Experience

Innova Solutions (VERIZON US)

Gen AI Software Engineer

Sep 2024 - Present

Hyderabad, India

- Built "Marketing AI Studio", a multi-agent AI system using Google ADK to autonomously generate marketing content (emails, social posts, blogs, and articles), saving $ 1.7 million annually by eliminating third-party dependencies. Developed with FastAPI and Langchain for orchestrating agent workflows and API endpoints, Docker for scalable containerized deployment and Apigee for secure API management. Utilized PostgreSQL with checkpointers to persist agent memory across sessions and integrated Galileo for telemetry and performance logging.

- Developed “Scribe AI,” a FastAPI-based application integrated into Salesforce CRM that enables Verizon sales representatives to generate high-quality outreach emails using Gemini Pro 2.0. Leveraged Milvus as a real-time vector database for storing and retrieving information about Verizon’s plans and promotions, reducing email writing time by 78%


- Implemented “Sales Infobot” using Dialogflow CX integrated with Google Cloud Datastore to provide Verizon sales teams with instant, accurate information on products, services, and policies, achieving 92% intent–response accuracy and reducing query resolution time by 65%.


- Automated Q&A testing framework for Sales Infobot by developing a Gemini-powered system to generate question-answer pairs from Verizon's knowledge base. Implemented evaluation pipelines with metrics including relevancy scoring, groundedness assessment, and contextual accuracy, resulting in 85% reduction in manual testing effort

라일라베레즈 (LilacBerez)

AI Researcher

Mar 2024 - Aug 2024

Seoul, South Korea

- Conduct in-depth research on the latest advancements in generative AI, focusing on identifying new, faster, and more efficient methods to improve personal and business operations in various domains


- Prepare detailed technical documentation on research findings and model performance, ensuring clarity and precision


- Monitor and analyze industry trends and advancements in generative AI, providing actionable insights that inform future research and operational improvements

Coders Data

Data Analyst

Feb 2023 - Mar 2024

Houston, USA

- Developed an advanced multilingual AI chatbot for customer support with GPT-4 Turbo, boosting engagement, streamlining processes, and reducing response times leading to improved customer satisfaction, operational efficiency and enhanced service accessibility


- Implemented marketing mix modeling using Python, with advanced attribution models, marketing channel analysis, and ad budget optimization, leading to improved resource allocation and ROI

CMU CyLab

Graduate Research Assistant

Sep 2022 - Jan 2023

Pittsburgh, USA

- Implemented data acquisition and augmentation pipelines for the computer vision system that evolved into Ultron AI, an AI-based engine enabling real-time product detection and classification in retail settings. Supported dataset preprocessing, labeling, and validation to optimize model training, contributing to improved recognition accuracy and robustness across diverse retail environments and lighting conditions.

EXFO

Data Scientist (Internship)

May 2022 - Aug 2022

Montreal, Canada

- EXFO is the communications industry's test, monitoring and analytics market leader


- Deployed Graph-Augmented Normalizing Flows using PyTorch, trained on proprietary Call Data Records, to detect anomalies in telecom networks with an accuracy of 90.53%


- Engaged proactively in weekly brainstorming sessions with the lead R&D team, fostering collaborative idea exchange and contributing to innovative solutions

HFCL Limited

Technology Consultant

Jun 2018 - Nov 2020

Delhi, India

- Created interactive dashboards using Tableau and Power BI to visualize core business KPIs of optical fiber cables at the HTL manufacturing plant, leading to improved decision-making

- Designed an advanced signaling system for Modern Train Control System (MTCS) National Project, worth $450 Million (US), based on the European Train Controlling System – Level 2, which will
increase the capacity of the Indian railway network by 46-48%


- Played a key role in planning the communications network for Mauritius Metro by preparing detailed designs of various subsystems

- Deployed the communications network for the Eastern Dedicated Freight Corridor (EDFC) in various cities across India  

- Trained at HTL Manufacturing Facility where I learned the production and testing process of Optical Fiber Cable

- Exposure to multiple nation-wide projects based on DWDM, Wi-Fi, SDH, Optical Communication and GPON

Eaton

Data Analyst (Internship)

Jun 2016 - Jul 2016

Pune, India

- Worked on 'Cost optimization and rationalization of electro-hydraulic products' by using Value Engineering Techniques and made an estimated 1,66,000 USD savings per annum for the company

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