Mar 2024 – Feb 2025 · 11 mos · Bengaluru, Karnataka, India

• Built decision-making AI copilot
• Built 0-to-1

Jul 2023 – Mar 2024 · 8 mos · Bengaluru, Karnataka, India

• Worked on developing smart CRM platform for better sales insights and building strong client relations
• Implemented Retrieval Augmented Generation(RAG) with open-source LLMs for event recommendation, persona identification.
• Built multi-level summarization and topic extraction pipelines with LLMs on multi-channel client interactions data
• Prototyped in-house automated tools based on GenAI for HR & compliance, domain research, employee onboarding, data analytics and mental health

Apr 2023 – Jun 2023 · 2 mos · Mumbai, Maharashtra, India · Remote

• Developed a non-parellel end-to-end singing voice conversion algorithm utilizing PPGs signals, acoustic reference encoders for high-fidelity voice conversion
• Experimented with different acoustic reference features like mel spectrograms, HuBERT embeddings, and PPG-Mid to capture singer-independent musical information and enable cross-domain capabilities

Nov 2021 – Mar 2022 · 4 mos · Mumbai, Maharashtra, India

• Devised and optimized an end-to-end pipeline for face recognition, identification and person tracking
• Obtained accuracy of 99.1% on face recognition and deployed the API using Flask and AWS Lambda
• Built shortest path optimization algorithm for cost minimization for supply chain management

Jul 2021 – Dec 2021 · 5 mos · Mumbai, Maharashtra, India

• Developed an absurdity detection and filtration algorithm using NLP achieving 98.4% accuracy
• Designed APIs using Flask and deployed with the use of Docker; performed API testing with Postman
• Implemented context and keyword extraction with Latent Dirichlet Allocation (LDA)

Jan 2021 – Sep 2021 · 8 mos · Mumbai, Maharashtra, India

• Worked on building strategies and designing the technical product for agricultural process automation
• Developed end-to-end pipeline for weed detection in farms and improvised its performance over time
• Guided and mentored 3 interns over 4 months for product development related various technical tasks

Nov 2020 – Apr 2021 · 5 mos · Mumbai, Maharashtra, India

• Worked on time-series modeling for energy load prediction and optimization in smart buildings
• Experimented with (S)ARIMA, Random Forest, Deep Belief Network and Neural Networks for prediction
• Achieved R-squared error of 0.99 outperforming the previous model with CNN-LSTM architecture

Apr 2020 – Mar 2021 · 11 mos · Mumbai, Maharashtra, India

• Spearheaded a team of 4 conveners, responsible for overall design and maintenance of a web interface
• Collaborated with editorial board, design team and data team for smooth transfer and ideation of content
• Strategized the traffic on website using google analytics and observed 80% y-o-y increase in readership