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Work Background
Picard.LawCo-Founder
Apr. 2025* Led product and engineering for an industry-first Graph RAG Legal Platform, transforming unstructured legal documents into clause-level, queryable knowledge graphs with 98% accuracy. * Architected a core pipeline integrating Neo4j-powered memory graphs with Llamaindex for document-level vector + symbolic search, reducing hallucination to 0% across 10,000+ interlinked documents. * Built scalable ingestion-to-indexing workflows, supporting millions of pages per deployment and improving processing speed by 40%. * Designed a chain-of-references engine, visualizing clause dependencies and obligations across contracts with 95% precision, enhancing legal insight extraction. * Enabled secure, on-premise deployment of AI agents, ensuring GDPR and fair use compliance, with tailored enterprise training reducing setup time by 30%. * Led abstraction layers for temporal metadata, cross-linked clauses, and fine-tuned model supervision, boosting reasoning path traceability by 50%.
NexportNon Executive Director
Sep. 2023 - Jan. 2025Pune, Maharashtra, IndiaHere at Nexport we focus on integrating AI & Blockchain - for strategic partners, at complex junctures - to build concrete systems for tomorrow's world. My role involves leveraging AI to unlock new insights, optimize operations, and drive innovation in complex processes. Additionally, I am responsible for leading sales growth strategies, expanding market presence, and forging strong partnerships to position Nexport at the forefront of the industry.
KernelPI AnalyticsManaging Director
Feb. 2022Pune, Maharashtra, IndiaWe specialize in creating user-friendly, yet advanced AI tools for our clients that redefines business analytics, speech synthesis, and more. Our mission is to make cutting-edge AI accessible to businesses of all sizes, turning complex technology into practical solutions. Join us on this journey to harness AI's full potential for real-world applications and business growth.
UpworkAI Architect, Consultant
May. 2021Pune, Maharashtra, India* Designed and implemented AI-driven memory infrastructure, improving institutional knowledge retention by 50% and reducing redundant legal work by 40%. * Developed secure, scalable Web3 and blockchain-based solutions, automating workflows for smart contracts and dApps, achieving a 30% increase in operational efficiency. * Integrated AI processes into existing systems, enhancing data processing pipelines with 95% accuracy and delivering 20% ROI uplift for clients through optimized tools. * Collaborated on DAO, NFT, and DeFi projects, transforming concepts into future-proof solutions with a 25% reduction in development cycles. * Conducted 100+ consultancy sessions, leveraging applied mathematics and algorithms to drive 35% improvement in decentralized ecosystem performance metrics.
Botminds IncDeep AI Engineer
Jan. 2020 - May. 2021Chennai Area, India* Led optimization of baseline segmentation model architecture, improving text block identification and classification accuracy by 45% using advanced deep learning techniques. * Designed and developed a table extraction pipeline with 92% accuracy for parsing annual reports, reducing manual data entry time by 60% and enhancing data reliability. * Implemented PyTorch-based neural networks, increasing model efficiency by 30% and enabling scalable processing of 500+ documents daily. * Conducted A/B testing on model outputs, achieving a 20% uplift in precision for complex table structures and contributing to a 15% increase in client satisfaction scores.
SymphonyAIAI Engineer
May. 2018 - Dec. 2019Chennai Area, India* Integrated a text processing, block identification, and extraction pipeline into existing data processing workflows, boosting legal document analysis accuracy by 85% and reducing manual effort by 40%. * Constructed a corpus of 10,000+ legal documents, enhancing vector representations and improving prediction accuracy by 30% in robust test cases and enterprise-grade stress tests. * Engineered the Inference Engine feature, automating deviation tracking and revenue leak detection between contract and invoice data, increasing revenue recovery by 15% and reducing detection time by 50%. * Led multiple iterations on end-user experience and data point showcasing, improving blue-chip customer targeting efficiency by 20% through advanced analytics. * Developed a new audit platform for enterprises using full-stack technologies, optimizing data flow by 25% and implementing role-based authentication, enhancing targeted data delivery by 35%.
Surukam AnalyticsAI Research Intern
Jan. 2018 - Apr. 2018Chennai Area, India* Developed an extraction pipeline using PyTorch to process legal documents, achieving 90% accuracy in extracting signatures and handwritten data. Utilized an open-source handwritten dataset to train deep neural networks, improving non-signature contour detection by 35%. Enhanced signature metrics by 20% with a crowdsourced annotation team, increasing dataset size by 500 annotations. * Implemented research papers using PyTorch, boosting image de-skewing and character inversion detection accuracy by 40%, enhancing OCR pipeline efficiency by 25% through improved sparse data handling. * Engineered an experimental natural language interface for databases, mapping 80% of common keywords to SQL queries with heuristic logic, reducing query generation time by 50% and improving database query accuracy by 30%.
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