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Konika Thakur

@konikathakur

AI Sales Intelligence Engineer at Bridge AI who ranked 110k+ companies by purchase probability and cut manual sales research by 70%.

India

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At Bridge AI, I built an intelligence platform that ranks 110k+ target companies by purchase probability and strategic priority. I also developed personalized outreach workflows that reduced manual sales research by 70%.

At Proeffico Solutions, I created an audio sentiment analysis pipeline using Whisper ASR and NeMo, and deployed LLaMA 3.2 for speaker role assignment. At Hindustan Times (HT Media Ltd.), I engineered a RAG-powered chatbot that detects 50+ technology logos in presentations.

Across industry and research projects, I’ve worked on semantic search, document question answering, data deduplication, and image processing. My work includes a search system with 95%+ accuracy and an Excel merger with 85%+ deduplication accuracy.

Experience

Work history, roles, and key accomplishments

Current

AI Sales Intelligence Engineer

Current

Bridge AI

Nov 2025 - Present (1 year)

Engineered predictive scoring and recommendation systems for 110k+ target companies, and built outreach and influencer intelligence modules that reduced manual sales research by 70%.

predictive modeling Recommendation Systems Data Aggregation Outreach automation Influencer Analysis Brand Safety Engagement Analysis Python SQL

GenAI Engineer

Proeffico Solutions

Jun 2025 - Nov 2025 (5 months)

Architected a multi-stage audio sentiment analysis pipeline using Whisper ASR and NeMo, and deployed LLaMA 3.2 for speaker role assignment and RoBERTa-based sentiment classification.

Whisper ASR NeMo Llama 3.2 RoBERTa Sentiment Analysis Audio Processing Speaker Diarization Python

Machine Learning Engineer

Hindustan Times

Mar 2025 - Jun 2025 (3 months)

Engineered a RAG-powered chatbot with OpenAI CLIP zero-shot classification for logo detection, developed an IT expenditure calculator, and automated a data cleaning pipeline using regex and fuzzy matching.

RAG OpenAI CLIP Zero Shot Classification Data Cleaning Regex Fuzzy Matching Python TAM SAM SOM

AI Engineer Intern

Beyond and More

Jan 2025 - Mar 2025 (2 months)

Designed an asynchronous web scraping pipeline using Crawl4AI, built a multi-stage query matching system with Sentence Transformers and FAISS, and created an AI-powered Excel merging system.

Web Scraping Crawl4AI Sentence Transformers Faiss RapidFuzz TF IDF Cosine Similarity Streamlit Python

Trainee Engineer

Aexonic

Oct 2024 - Dec 2024 (2 months)

Developed Doc Talk, a Retrieval-Augmented Generation (RAG) application using Qdrant, LangChain, BAAI/bge-small-en embeddings, and LLaMA 3.2 Vision for context-aware question answering.

RAG Qdrant Lang Chain BAAI Bge Small En V1.5 LLaMA 3.2 Vision Python

Machine Learning Engineer Intern

Defence Research and Development Organisation

Jul 2024 - Sep 2024 (2 months)

Optimized boundary clarity in synthetic defence images using simulated annealing, Gaussian blur degradation, and Sobel-based cost evaluation, enhancing imaging system performance.

Simulated Annealing Image Processing Gaussian Blur Sobel Edge Detection Morphological Operations Python