AI Enhanced Human | Ex-SDE in ML @Pluto Money | Ex-AI/ML Mentor @GDSC BBDITM | Experience with Java, Python, Machine Learning, C | BBDITM Graduate

Bengaluru

On-site

Hybrid

Lucknow, Uttar Pradesh, India







Bachelor of Technology - BTech, Computer Science
BABU BANARASI DAS INSTITUTE OF TECHNOLOGY AND MANAGEMENT

N/A
City Montessori School
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ππ½ Hi, my name is Haris π Graduate with a Bachelor's of Technology in Computer Science & Engineering. (Nov 2024) π Lucknow native, with a passion to build software that benefits our planet π I have worked on several projects across various domains. My programming experience spans 5 years with Java as my native language. Currently, I am focused on strengthening my grasp over Deep Learning and concepts related to it. π» In the future, I hope to become an excellent machine learning engineer and data scientist. I would want my work to benefit the human race and assist it in reaching even greater heights. I believe AI can help us surpass the 'limitations' we face today. π In my spare time, you can probably find me gaming or watching a movie. Or I would just be sweating profusely in a gym. πͺπ½ My strengths include proficiency in core programming concepts, quick learning, and my ability to adapt to new situations relatively quickly.
Greater Bengaluru Area
claude code
claude
codex
cursor
openai
Agno
Machine Learning Specialist at Asper.ai, Sep 2025 - Present Β· 1 yr 1 mo, Bengaluru, β Improved a Neo4j-based schema harmonization system backed by a proprietary ontology, increasing matching accuracy to ~90% through algorithmic and graph-aware enhancements. β Designed and built a product-to-product mapping algorithm to align internal POS data with external syndicated datasets at scale. β Engineered an AI-driven attribute extraction system capable of operating without prior schema knowledge, enabling reliable cross-source product comparability. β Implemented self-learning ontology enrichment, persisting extracted knowledge to reduce repeated AI inference and overall compute cost in subsequent pipelines. β Delivered production-grade ML systems tightly integrated with graph databases and enterprise data workflows, supporting large-scale retail and CPG data harmonization. β Technologies Used: Python, Neo4j, Agno.
Software Development Engineer in Machine Learning at Pluto Money, Jun 2024 - May 2025 Β· 1 yr, On-site, β Revamped the companyβs flagship chatbot with βGenerative UIβ components, enabling interactive input/output widgets that elevated user experience and engagement. β Designed and deployed a scalable βStock Workerβ microservice using a publisher-subscriber architecture (Redis + LavinMQ), responsible for real-time stock data aggregation and processing. This significantly improved data reliability across the chatbot and website, cutting data latency significantly. β Engineered a βCelery Workerβ microservice to manage critical automation pipelines, executing diverse background tasks (ranging from hourly data retrieval to monthly attributes updates). This automation reduced manual workload by ~90% across internal teams. β Collaborated closely with the SEO and product teams to optimize and rearchitect high-traffic sections of the website β including stocks, mutual funds, and currency converters. These efforts improved SEO scores and boosted average page speed. β Upgraded legacy CI/CD pipelines and built new GitHub Actions workflows, incorporating exhaustive environment setup and pre-deployment linting. This led to a 40% faster release cycle and improved team-wide development efficiency. β Authored extensive technical documentation for all systems (legacy and new), enabling faster onboarding for new hires and ensuring smooth handoff across cross-functional teams.
AI/ML Intern at Pluto Money, Apr 2024 - Jun 2024 Β· 3 mos, Hybrid, β Developed and deployed an advanced chatbot that acts as a Personalized Financial Planner which can perform tasks such as Portfolio Diversification, Stocks Analysis, Retirement Planning, General Q&A about Finance. Chatbot uses specialized modules that switch automatically as per conversation requirements. β The bot uses state-of-the-art techniques such as agentic RAG, function calling for LLMs and efficient prompt engineering to provide optimal response, while also decreasing query resolution time by 100%. β In addition to a getting data from a vector database, the bot can also perform Online Web Search to acquire data, when a userβs query cannot be answered using data from vector database. β Implemented a hands-free speech-to-speech feature in the chatbot with a response latency of merely 2 seconds. The audio is streamed between client and backend using websockets. β The front-end includes a sitemap and leverages server-side rendering (SSR) for improving SEO. β Technologies used: Next.js, FastAPI, MongoDB Atlas, Vercel, Python, JavaScript, LangChain, OpenAI, ElevenLabs, Deepgram.
AI/ML Mentor at GDSC BBDITM, Aug 2022 - Jul 2023 Β· 1 yr, Lucknow, Uttar Pradesh, India, β Generated awareness among over 350 students through intensive course education on the fundamentals of AI/ML, yielding 60% retention rate post-mentoring β Planned and executed a 3-day immersive event introducing over 50 students to the principles of artificial intelligence, machine learning, and deep learning through interactive workshops and hands-on coding β Coordinated the successful execution of Hacktoberfest 2022, an event with over 100 participants, resulting in a 25% increase in open source contributions compared to the previous year β Also assisted in the organization of Compose Camp and GDG DevFest 2022 Lucknow
Bachelor of Technology - BTech, Computer Science, BABU BANARASI DAS INSTITUTE OF TECHNOLOGY AND MANAGEMENT
N/A, N/A, City Montessori School
github: https://github.com/harisj58
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