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Founding AI Engineer | Tech Lead | AI Systems | Agentic AI & Full-Stack Products
I'm a Tech Lead and Senior Full Stack AI Engineer with 5+ years of experience building production AI systems and full-stack platforms. I enjoy taking ambitious ideas from a blank repo to a live product, usually in a few weeks rather than a few quarters. Currently, I'm technical lead at TheAgentic AI, where I own engineering end-to-end across three production AI platforms in Health-Tech, Reg-Tech, and Ad-Tech, all shipped 0-to-1 in 2 to 4 weeks with full client sign-off. Before that, as Tech Lead at Dumroo.ai, I built Dumroo 2.0 from scratch in 4 weeks. The platform drove inbound interest from 10+ US K-12 school districts, onboarded 3 paying schools, cut school setup time by 10x, and got me promoted to Senior within 6 months. Earlier, I led a 60+ engineer global team at Omdena across 15+ countries, headed AI & Engineering at CodeSpaze (scaled to 10K+ applicants in 2 months), and shipped 30+ features and products across 7 companies. What I focus on: Agentic AI and RAG systems that are auditable and cost-efficient, favoring deterministic tool-use over black-box pipelines 0-to-1 product engineering across frontend, backend, and infra LLM optimization: recently improved insight accuracy 2x while cutting inference costs by about 50% Core skills: AI / LLM: RAG, Agentic Workflows, LangChain, OpenAI and Anthropic APIs, Prompt Engineering, Fine-tuning, Vector DBs (pgvector, Pinecone), LLM evaluation Backend and System Design: FastAPI, Node.js, microservices, REST and event-driven APIs, async architectures, caching, queues (Redis, Celery) Frontend: Next.js, React, TypeScript, React Native Data and ML: PostgreSQL, Supabase, Redis, PyTorch, TensorFlow, XGBoost, MLflow, Computer Vision, ETL pipelines Cloud and DevOps: AWS, Azure, Docker, Kubernetes, GitHub Actions, CI/CD, observability and logging Engineering Leadership: Hiring, sprint planning, code review, mentoring, client
Sagar Institute of Technology and Management, Barabanki
Bachelor of Technology - BTech, Computer Science and Engineering
N/A – Present
TheAgentic
Senior Full Stack AI Engineer & Tech Lead
November 1, 2025 – Present
California, United States · Remote
Dumroo.ai | AI Ecosystem for Education
Senior Full Stack AI Engineer & Tech Lead
September 1, 2025 – November 1, 2025
New Jersey, United States · Remote
Dumroo.ai | AI Ecosystem for Education
Full Stack AI Engineer
March 1, 2025 – September 1, 2025
New Jersey, United States · Remote
CodeSpaze
Head of AI & Engineering
May 1, 2024 – February 1, 2025
Lucknow, Uttar Pradesh, India · Remote
Techpile Technology Pvt. Ltd.
Software Engineer & Data Analyst
July 1, 2023 – April 1, 2024
Lucknow, Uttar Pradesh, India · On-site
Omdena
Machine Learning Engineer
March 1, 2023 – July 1, 2023
New York, United States · Remote
CodeSpaze
Software Engineer
July 1, 2021 – February 1, 2023
Lucknow, Uttar Pradesh, India · Remote
OpenFishh
April 1, 2026 – April 1, 2026
A living digital society of 1,200 AI agents across 31 knowledge domains that reads the internet continuously, maintains persistent belief memory with full provenance chains, runs structured debates on contested claims, and produces auditable intelligence reports on demand. Every belief is typed, sourced, confidence-decomposed, and lifecycle-governed - the system tracks why it believes things, how confident it should be, and what would change its mind.
Wrively
February 1, 2026 – March 1, 2026
AI writing tool trained on your voice. Topic to post in under 3 minutes.
TalPred AI -Production-grade equity alpha system.
January 1, 2026 – March 1, 2026
Automated daily cross-sectional equity predictions with paper trading and monitoring. End-to-end ML pipeline with model training, evaluation, and a real-time React dashboard.
Plant Disease Classification using Deep Learning
May 1, 2023 – June 1, 2023
Skills: Team Leadership · Flask · Deep Learning
Sign Language Detection using Deep Learning and Computer Vision
April 1, 2023 – May 1, 2023
Skills: Data Science · Flask · Machine Learning · Data Engineering · Deep Learning
Bank Customer Churn Prediction
February 1, 2023 – February 1, 2023
We aim to accomplist the following for this study: Identify and visualize which factors contribute to customer churn: Build a prediction model that will perform the following: Classify if a customer is going to churn or not Preferably and based on model performance, choose a model that will attach a probability to the churn to make it easier for customer service to target low hanging fruits in their efforts to prevent churn
Market Basket Analysis in Python using Apriori Algorithm
February 1, 2023 – February 1, 2023
Whenever you visit a retail supermarket, you will find that baby diapers and wipes, bread and butter, pizza base and cheese, beer, and chips are positioned together in the store for sales. This is what market basket analysis is all about - analyzing the association among products bought together by customers. Market basket analysis is a versatile use case in the retail industry that helps cross-sell products in a physical outlet and also helps e-commerce businesses recommend products to customers based on product associations. Apriori and FP growth are the most popular machine learning algorithms used for association learning to perform market basket analysis.
Price Recommendation for Online Sellers using LightGBM
February 1, 2023 – February 1, 2023
E-commerce platforms today are extensively driven by machine learning algorithms, right from quality checking and inventory management to sales demographics and product recommendations, all use machine learning One more interesting business use case that e-commerce apps and websites are trying to solve is to eliminate human interference in providing price suggestions to the sellers on their marketplace to speed up the efficiency of the shopping website or app. That's when price recommendation using machine learning comes to play.
DragonBall Website
January 1, 2023 – February 1, 2023
Used html,css, javascript and bootstrap for the project.
Breast Cancer Classification
August 1, 2022 – September 1, 2022
Breast cancer is the most common cancer amongst women in the world. It accounts for 25% of all cancer cases, and affected over 2.1 Million people in 2015 alone. It starts when cells in the breast begin to grow out of control. These cells usually form tumors that can be seen via X-ray or felt as lumps in the breast area. Maximum accuracy score achieved by Support Vector Machine (SVM) which is approximately 98%
Python 101 for Data Science
Cognitive Class
June 25, 2026 – Present
Computer System Security
ICT Academy, IIT Kanpur
June 25, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 25, 2026 – Present
Data Science & ML
Coding Ninjas
June 25, 2026 – Present
Artificial Intelligence+ Machine Learning
SATHEE@IITK
June 25, 2026 – Present
Master Class on Machine Learning
Pantechelearning
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, spanning health-tech, ed-tech, reg-tech, and general AI applications, indicating adaptability and a broad interest in applying AI/ML. Their experience in startups (TheAgentic, Dumroo.ai, CodeSpaze) suggests comfort with fast-paced, innovative environments. The target role of 'Data Analyst' is somewhat misaligned with their recent senior full-stack AI engineer and tech lead roles, which are more focused on AI/ML engineering and system design. While they possess strong data analysis skills, their recent roles lean heavily towards AI development and leadership, which might indicate an overqualification or a different career trajectory than a pure Data Analyst role. The project descriptions show a strong inclination towards building predictive models and AI systems rather than solely focusing on data reporting and insights, which is typical for a Data Analyst.
Soft Skills & Operational Fit
The candidate's experience as a Tech Lead and Head of AI & Engineering suggests strong leadership, project management, and cross-functional collaboration skills. Their work on automating workflows and improving efficiency indicates a results-oriented approach. The descriptions imply an ability to coordinate with stakeholders (e.g., US school administrators) and mentor junior team members, which are valuable operational fits.