Tansu Gangopadhyay — Associate Consultant
I am a AI/ML Engineer and Product-Minded Technologist building the next generation of intelligent applications. My expertise lies at the intersection of Generative AI, Machine Learning, and Product Strategy. I don't just train models; I architect end-to-end systems that solve tangible business problems. My approach combines rigorous deep learning research with production-grade engineering, ensuring that theoretical capabilities translate into scalable, robust software. Core Technical Impact: ⚪ Generative AI & RAG: I design advanced Retrieval-Augmented Generation (RAG) systems using LangChain, LlamaIndex, and Vector Databases (Chroma/Milvus). My focus is on grounding LLMs in proprietary data to eliminate hallucinations and drive context-aware user experiences. ⚪ Predictive Modeling: At Ordbit, I engineered a user churn prediction model (XGBoost/Scikit-learn) that directly delivered a 15% increase in user retention, proving the commercial viability of my code. ⚪ Autonomous Agents: I am actively developing agentic workflows using CrewAI, pushing the boundaries of how autonomous systems execute complex, multi-step tasks. Product & Engineering Philosophy: My background in User Experience Design (at Feelpixel) and Product Management (Microsoft Certified) allows me to view AI through the lens of the user. I bridge the gap between complex algorithms and intuitive utility. Whether deploying REST APIs via Docker or optimizing CI/CD pipelines, my goal is to build friction-free products that scale. Technical Stack: Python, PyTorch, TensorFlow, GenAI, LLMs, RAG, Computer Vision (ResNet), MLOps, Docker, Product Lifecycle Management. Open to AI Development and Technical Product roles that demand high-impact engineering.
Stackforce AI infers this person is a SaaS-focused AI/ML Engineer with a strong emphasis on user experience and product strategy.
Experience: 2 yrs 2 mos
Skills
- Data Science
- Ai/ml
- Predictive Modeling
- Web Development
- Leadership
- Product Management
- User Experience Design
- Programming
- Product Marketing
Career Highlights
- Engineered a churn prediction system boosting retention by 15%.
- Designed advanced RAG systems for context-aware AI applications.
- Bridged AI technology with user experience design.
Work Experience
SRM IST Chennai
Data Science & Analytics Intern (9 mos)
Feelpixel - UX Design Studio
User Experience Designer (2 mos)
Cloud Nova-SRM
Creative Lead (1 yr)
CodeClause
Python Developer (1 mo)
IEEE SRMIST
Full Stack Developer (1 yr 3 mos)
Team Envision
Committee Head (1 yr 4 mos)
Committee Member (10 mos)
Volunteer (8 mos)
Ordbit
AI/ML Engineer (1 yr 6 mos)
The Sparks Foundation
Full Stack Developer (2 mos)
Skill Vertex
Campus Ambassador (1 mo)
Unacademy
Campus Ambassador (9 mos)
Education
Bachelor of Technology - BTech at SRM IST Chennai
class 12 at kalyani public school
class 10 at St. Claret School - India
Student at DSK School - India
