Geetanshi B.

Software Engineer

Noida, Uttar Pradesh, India3 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Reduced manual efforts by up to 92%
Developed AI-driven solutions for enterprise workflows
Built scalable chatbots for high user engagement

Stackforce AI infers this person is a Software Engineer specializing in AI/ML solutions for enterprise applications.

Contact

geetanshibagga23@gmail.com +919045943046 LinkedIn

Skills

Core Skills

Ai/ml SolutionsChatbot DevelopmentCampaign AutomationData EngineeringCloud IntegrationNlp AutomationData Pipeline OptimizationAlpr System

Other Skills

Azure FunctionsB2B SolutionsFlair-NLPImage ClassificationRoBERTaYOLO

About

Results-driven Software Engineer with 2+ years of experience in designing and deploying AI/ML-driven solutions to streamline enterprise workflows. Proven expertise in NLP, computer vision, and chatbot development, with a track record of reducing manual efforts by up to 92% and improving system efficiency. Passionate about leveraging frameworks like Flair, ViT Transformers, and YOLO to solve complex business challenges.

Experience

Havells india ltd

2 roles

Software Engineer

Promoted

Jun 2023 – Present · 2 yrs 9 mos · Noida, Uttar Pradesh, India

> AI/ML Solutions: Development of an image classification model (ViT) to automate invoice validation, reducing manual rejections by 56% and achieving a 1.5-second response time via Azure Functions.
> B2B Chatbot Development: Built a WhatsApp chatbot for instant SAP data retrieval (ledger, credit notes) and PDF report generation, scaling to 200k+ daily users and earning recognition at the Dubai Dealer Summit.
> Campaign Automation: Orchestrated WhatsApp campaigns for 500k+ users/campaign, improving conversion rates by 30% via enhanced registration flows.
> Data Engineering: Designed large-scale e-commerce scrapers for dynamic pricing models and curated datasets for speech-to-text (Whisper) using semi-supervised learning.
> Cloud Integration: Resolved GCP/on-premise networking challenges by optimizing SQL stored procedures for document detection in NER applications.

AI/ML SolutionsImage ClassificationChatbot DevelopmentCampaign AutomationData EngineeringCloud Integration

Graduate Engineering Trainee

Jun 2022 – Jun 2023 · 1 yr · Noida, Uttar Pradesh, India

> NLP Automation: Revamped Flair-NLP frameworks with RoBERTa embeddings to summarize 1,000+ page tenders, cutting manual effort by 92%.
> Data Pipeline Optimization: Automated B-I-O tagging for NER models, ensuring data hygiene across 1,000s of documents with micro-rules.
> ALPR System: Boosted license plate recognition accuracy by augmenting datasets using live camera feeds and YOLO-based object detection.

NLP AutomationData Pipeline OptimizationALPR System