Life Changelog & Experience.
In order. Real dates. The full arc.
Every meaningful milestone — arrival in the US, first paper, Harvard, Benmore — followed by a reverse-chronological work history and the internal tooling that came out of it.
● Life changelog
The Complete AI Hardware Stack — Layer by Layer
Apr 2026Knowledge● PublishedFrom silicon atoms to generated tokens — every layer that makes modern AI inference possible. L7 silicon & packaging, HBM, NVLink, CUDA kernels, disaggregated serving, and deep dives on SRAM vs HBM, CPO, and EDA.
Deep dive →
Head of FDE, Benmore
Apr 2026Work● CurrentLeading the forward deployed engineering practice across all client engagements.
$150k total -> $150k every 15 days
2025-2026MilestoneCompleted887% revenue acceleration through repeatable forward-deployed engagement model.
Joined Benmore Technologies - Employee #2
Aug 2025WorkCompletedJoined Benmore as Employee #2 — Forward Deployed Strategist & Engineer. Embedded into client engineering teams, scoped systems end-to-end, and shipped production code from day one.
- Onboarded the first ten clients across SaaS, healthcare, and consumer verticals.
- Authored the Benmore Foundry CLI — internal orchestration layer for SMB AI consulting engagements.
- Cross-stack: Stripe, Django, Next.js, FastAPI, React Native, plus Claude Code skill systems.
Deep dive →Python
Django
FastAPI
Next.js
React Native
Stripe
Claude Code
SpatialDINO - 3D self-supervised vision transformer for LLSM
2025ResearchCompletedDesigned and trained a 3D self-supervised vision transformer for label-free segmentation and tracking of subcellular dynamics in lattice light-sheet microscopy — pre-trained on 2.4 TB / 180k volumes across 24 A100s. Beat a prior approach co-led by Nobel laureate Eric Betzig on downstream evaluation.
- Adapted DINO-style self-supervised contrastive learning into 3D — student/teacher ViTs over LLSM volumes with native 3D iBOT block masking.
- Introduced KMeans content-aware 3D cropping, no-positional-encoding 3D ViTs (NoPE), and a 3D adaptation of SINDER for singular-defect repair.
- Built a streaming encoder with token-store + online softmax for full-volume inference at million-token sequence lengths.
- Beat the prior SOTA — including the Nobel-laureate-led approach — on downstream subcellular structure prediction.
- Released as a BioRxiv preprint, first-author; engineering log at /writing/spatialdino-lessons.
Deep dive →PyTorchDINO3D ViTSelf-Supervised LearningLLSMDDPTriton
Joined Harvard Kirchhausen Lab
May 2024ResearchCompletedML researcher at Harvard Medical School applying 3D vision transformers to lattice light-sheet microscopy. The lab images live-cell subcellular dynamics at ~3 nm; my job was to make the resulting 4D volumes interpretable at scale.
- Trained on multi-node DGX clusters: A100 / H100, NVLink intra-node, Infiniband inter-node, RAID + NVMe storage tier.
- PyTorch DDP with bf16 mixed precision and activation checkpointing to fit large 3D ViTs.
- Diagnosed a Rendezvous (RDZV) backend issue affecting Infiniband multi-node training — filed PyTorch issue #144779.
Deep dive →CUDA
BA/MS Boston University - Magna Cum Laude
May 2024EducationCompletedBA in Math & CS, MS in CS, completed in four years.
Distributed Systems Research at BU
2023ResearchCompletedBU Master's thesis: dynamic checkpointing for Apache Flink. Static checkpoint intervals are a tax in idle periods and a stall during bursts; I built a controller that adapted cadence from live backpressure signals.
- Instrumented Flink JobManager to surface per-operator backpressure ratios as a control signal.
- Adaptive checkpoint cadence: shorten when load is low, lengthen under sustained backpressure to avoid amplifying stalls.
- RocksDB state backend benchmarked against in-memory; quantified write-amplification tradeoffs.
- Validated on the NEXMARK streaming benchmark — measured tail-latency wins on bursty workloads.
Deep dive →Java
Apache Flink
RocksDBNEXMARK
Fall 2023 — BU coursework: CS 320, DS 522, CS 561, CS 630, MA 582, HI 151
Fall 2023EducationCompletedSix classes spanning programming-language theory (CS 320 — OCaml interpreter from scratch), optimization (DS 522 — SGD variants & implicit SGD), cloud (CS 561 — PageRank on a synthetic mini-internet), graduate algorithms (CS 630 — Gale-Shapley average-case analysis over 331,776 instances, reservoir sampling), mathematical statistics (MA 582), and a liberal-arts elective (HI 151).
- CS 320: hand-written lexer, parser, and stack-machine evaluator for a BNF language in OCaml.
- DS 522: Adam / AMSGrad / RMSProp comparison, plus article evaluations of Reddi 2018 and Toulis 2016.
- CS 561: built a generated-HTML mini-internet and ran PageRank locally vs. on GCP.
- CS 630: 331,776-instance enumeration of Gale-Shapley to study average-case behavior.
- MA 582: rigorous graduate inference — MLE, sufficient statistics, MGF, asymptotics.
OCamlDeep dive →GCPOptimizationStatistics
ZeroSync - Rust Engineering Intern
Summer 2023EngineeringCompletedMy first production-grade Rust. Built an Excel-side marketplace + a server-side ingestion pipeline that converted unstructured data (CSVs, JSON dumps, free-form Excel) into structured records flowing through NATS JetStreams. Spent the first two weeks deep in The Rust Book — the borrow checker forces you to internalize ownership, lifetimes, and Send/Sync before you can ship anything async.
- tokio + async-trait for concurrent I/O across hundreds of NATS subjects.
- NATS JetStream for at-least-once delivery, persistent streams, and replay.
- Merkle-tree POC (SHA-256 + canonical JSON hashing + sorted pairwise concat) for tamper-evident sync of records across the pipeline.
- Excel side: JavaScript Office Add-in scaffolded with Yeoman (`yo generator-office`).
- Generated TLS dev certificates with `office-addin-dev-certs`, trusted them in macOS Keychain, wired their paths into `nats.conf` so the add-in published over TLS.
- Borrow checker lessons: `&str` vs `String`, ownership over defensive `.clone()`, Send + 'static for futures.
Deep dive →Rust
NATS JetStreamYeoman
JavaScriptOffice Add-ins
Spring 2023 — BU coursework: CS 350 (Raft) & CS 611 (OOP)
Spring 2023EducationCompletedDistributed Systems (CS 350) — Raft consensus from scratch in Go, plus a MapReduce coordinator/worker. OOP & Design Patterns (CS 611) — Monsters & Heroes turn-based RPG plus a final Java Swing trading platform.
- CS 350: full Raft state machine with leader election, log replication, and snapshot install RPC.
- CS 350: MapReduce coordinator + worker with plugin-loaded map/reduce functions.
- CS 611: Monsters & Heroes — battle, market, inventory, 2D grid world.
- CS 611: group capstone trading platform with Java Swing GUI and singleton persistence.
Deep dive →GoRaft
First Paper: Supercritical Fluids in Chemical Physics
Nov 2022Publication● PublishedCo-authored ultrafast 2DIR study of N2O rotational and vibrational energy relaxation in supercritical Xe and SF6 - IBC breakdown and critical slowing near the critical point.
Battery Ventures - Sourcing Intern
Dec 2021VCCompletedBattery taught me VC end-to-end. Worked under Dallin Bills sourcing early-stage B2B software - learned the difference between vertical and horizontal SaaS, fintech investment theses (payments, infra, embedded, neobanks), and how Battery sized markets across verticals. Got fluent in the financial bar: Rule of 40, ARR growth vs. burn multiples, gross retention vs. logo churn vs. net dollar retention, magic number, and CAC payback. Sourced 3 deals to partner-meeting stage, including CarNow.
UROP Scholar - 1 of 5 freshmen selected university-wide
2021AwardCompleted"Ultrafast Two Dimensional Infrared Spectroscopy of Supercritical Fluids: Energy Relaxation and Local Critical Slowing Effects." NSF-funded UROP under Lawrence Ziegler (CAS Chemistry).
Arrived in the US from India
Sep 2020LifeCompletedLeft Chandigarh for Boston University as an undergraduate.
Wanted to be a physicist - prepped for JEE Advanced
2018-2019LifeCompletedTwo years of E&M, particle physics, organic and physical chemistry, and optics - the standard JEE Advanced gauntlet for kids who wanted to do physics in India. Also sat AP Calculus, AP Physics C: Mechanics, and AP Physics C: E&M.
Showing 16 curated milestones. See the full archive (29) →
● Career
Reverse-chronological — from Battery Ventures and BU to Harvard Medical School and Benmore.
Head of FDE - Forward Deployed Strategist & Engineer
Benmore Technologies
- ›Employee #2; scaled revenue 887% across 2025-2026.
- ›Forward-deployed lead engineer across the Benmore portfolio of SMB AI engagements.
ML Researcher
Harvard Medical School - Kirchhausen Lab
- ›Authored SpatialDINO - 3D self-supervised vision transformer for label-free segmentation and tracking in lattice light-sheet microscopy.
- ›Pre-trained on 2.4 TB / 180k volumes on DGX A100 nodes with DDP, bf16, NVLink, InfiniBand; contributed Rendezvous backend fix to PyTorch (#144779).
SWE Intern
ZeroSync
- ›Worked on Bitcoin STARK proof systems - recursive STARK aggregation tooling.
SWE Intern
Boston Children's Hospital
- ›Built ALS resource discovery tool used by clinicians and patients.
TA + Distributed Systems Researcher
Boston University
- ›TA across systems and CS theory courses.
- ›Thesis: dynamic checkpointing for Apache Flink - adaptive checkpoint cadence based on backpressure signals.
Analyst - Diligence Extern
Battery Ventures
- ›Vertical-deep diligence on early-stage B2B SaaS investments.
Analyst - Sourcing Extern
Battery Ventures
- ›Sourced early-stage B2B SaaS deals across multiple verticals.
Undergraduate Researcher
BU Chemistry / NSF UROP
- ›1 of 5 UROP scholars selected university-wide as a freshman; led to first-author paper in chemical physics.