Gyanender Kumar Jha

I’m a data-driven problem-solver who loves turning messy real-world data into clear, actionable insights and then packaging those insights into production-ready products that scale. Over the past 3½ years I’ve worn the hats of Data Scientist, AI/ML Engineer, Cloud-centric Backend Developer, and now System Engineer at C1 Grade – Tata Consultancy Services (TCS), steadily building end-to-end solutions that sit at the intersection of analytics, generative AI, and robust system design. What I’ve done: 1. 1GEN (Data Scientist, Nov ’23 – Aug ’24) – Headed analytics for Project CARE and co-built MAGIC, a music-plus-Generative-AI platform, architecting GPT-powered pipelines and RESTful APIs that slashed data-processing time and boosted content-generation accuracy. 2. Andromeda (MAGIC) – Partnered with Meta & GateB solution architects to design a green-field cloud/back-end stack, steering a multi-disciplinary team to deliver web + mobile apps and Langflow/LangChain-based AI agents. 3. T2D2 – Streamlined computer-vision workflows, built an AI-driven report generator, and hardened CI/CD on AWS. 4. Acadiadata – Co-developed a funding-prediction model and a RAG-powered call agent; automated notebook-to-HTML deployments to keep stakeholders in the loop. How I work: 1. Full-stack mindset: From data ingestion and feature engineering to API design, DevOps, and UX considerations, I keep the whole lifecycle in view. 2. Cloud first: Comfortable across AWS (Lambda, S3, EC2), serverless patterns, and containerized deployments. 3. Collaborative leadership: I’ve led small (3-6) cross-functional teams, aligning product roadmaps with business KPIs and mentoring juniors along the way. Tools I reach for: Python • SQL • Pandas/NumPy • scikit-learn • LangChain/Langflow • FastAPI/Flask/Quart • Neo4j & MongoDB • Docker • Git • Jupyter • DVC. What’s next: I’m excited by roles where I can blend hands-on model development with system architecture whether that’s building retrieval-augmented ChatGPT-style agents, optimizing data pipelines, or crafting analytics dashboards that actually drive decisions. If you’re tackling complex data challenges and need someone who can speak both “business” and “backend,” let’s connect and explore how we can create value together.