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Fullstack Engineer with 5+ years in GenAI and Cloud
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Janhavi Parte is a Senior Software Engineer with 5.5+ years of experience building scalable full-stack and GenAI applications. She has a strong background in backend systems, cloud-native architectures, and LLM-powered platforms. Janhavi is experienced in owning products end-to-end, optimizing performance and costs, and working closely with customers to deliver business-impacting solutions.
Vivekanand Education's Institute of Technology
Bachelors in Engineering
N/A – May 1, 2019
Somaiya Institute of Technology
HSC
N/A – May 1, 2015
Pawar Public School
ICSE
N/A – March 1, 2013
Atrina Technologies
Senior Software Engineer
June 1, 2021 – Present
Mumbai, Maharashtra, India
ThoughtWorks
Devops Engineer
February 1, 2020 – February 1, 2021
Pune, Maharashtra, India
Conversational Voice Agent - JASMINE
June 10, 2026 – Present
Architected a multi-tenant conversational voice agent platform, ensuring secure tenant isolation and scalable deployment. Led product growth initiatives including technical content creation, blogs, and SEO strategy to improve product visibility. Designed and implemented a cost-optimization framework to track and reduce LLM token usage, model costs, and cloud service expenses. Played a key role in pre-sales and customer discovery, engaging directly with clients to understand problem statements and translate them into technical solutions. Collaborated with stakeholders to align product roadmap with customer and business needs.
AION (1Finance)
June 10, 2026 – Present
Designed and delivered an enterprise-grade GenAI platform (Next.js) that mirrors Perplexity.ai functionality for a financial-services firm, enabling analysts to run natural-language research, Q&A, and content-generation workflows in one interface. Integrated multi-model orchestration with LangChain + LangGraph, dynamically routing user prompts across proprietary and open-source LLMs. Built a "cited search" agent that performs live web retrieval from curated financial websites, and returns concise answers with inline citations-reducing analyst research time by 65%. Implemented a company-knowledge Q&A bot that unifies unstructured (100+ document) data using a semantic search, indexing, achieving 92% exact-match accuracy. Showcased platform impact by cutting report-drafting cycles from 4D to 1 day and increasing analyst satisfaction score from 7 to 9/10 during pilot rollout.
Intelli Voice (Marico)
June 10, 2026 – Present
Delivered a state-of-the-art voice solution capable of transcribing and translating audio with 95% accuracy, leveraging OpenAI's GPT models. Engineered scalable background processing systems with BullJS in NestJS, optimizing task execution efficiency by 30% and ensuring robust handling of high-complexity workflows. Designed and implemented a ChatGPT-inspired conversational feature using LangChain, delivering intelligent, context-aware interactions that significantly enhanced user engagement and satisfaction. Integrated Azure Cosmos DB triggers to enable real-time data pipelines, boosting application responsiveness by 40% and streamlining decision-making processes.
Minet (Marico)
June 10, 2026 – Present
Designed and developed scalable REST/GraphQL APIs, reducing response times by 30%, and optimized system performance with Hangfire, enabling smoother background job processing and 50% more concurrent users. Re-engineered database and API architecture, improving scalability and reducing query processing time by 25%, ensuring a seamless workflow and better user experience. Mentored 3 junior developers, resulting in a 40% productivity increase within the team. Led agile methodology and collaborated cross-functionally to deliver features on time and within scope. Actively improving skills in Azure Cloud and DevOps to further streamline development processes and deployment.
Generative AI Leader
Google Cloud
November 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, particularly in GenAI and voice solutions across different industries (financial services, consumer goods), indicates adaptability and a broad interest in applying technology to various domains. Their experience at ThoughtWorks as a DevOps Engineer, followed by a Senior Software Engineer role at Atrina Technologies, shows a progression and willingness to take on diverse technical challenges. The AI Adoption Lead volunteering role suggests a proactive, collaborative, and knowledge-sharing mindset, which aligns well with a culture of continuous learning and innovation. The focus on business impact and customer satisfaction in project descriptions also points to a results-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through cost optimization frameworks and performance improvements. Their experience in pre-sales and customer discovery indicates good client-facing communication and ability to translate business needs into technical solutions. Mentoring junior developers and leading agile processes suggest strong teamwork and operational leadership. The volunteering as an AI Adoption Lead further highlights initiative and a proactive approach to knowledge sharing.